{
"cells": [
{
"cell_type": "markdown",
"id": "25d5b0d5-f330-4dcb-9b7c-f57c4bea9596",
"metadata": {},
"source": [
"# **Workshop: From electrons to phase diagrams**\n",
"\n",
"# Day 2: Validation of the potentials (draft)"
]
},
{
"cell_type": "markdown",
"id": "4756d4c9-304a-4ccc-b772-ba67d008c5a4",
"metadata": {},
"source": [
"## Import the fitted potentials for Li-Al ( from prevoius excercise)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "83f7a2c9-d45a-4987-9e35-59badd754d4f",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pylab as plt\n",
"import seaborn as sns\n",
"import pandas as pd\n",
"import time"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "73bedeef-3e9b-4ca4-99c1-1be729222df8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2.426196225"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"time_start = time.process_time()\n",
"\n",
"time_start"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c702e2da-52b2-419d-8031-483bba3b44d9",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 3,
"id": "da96c965-24f8-401d-911e-72818c90e731",
"metadata": {},
"outputs": [],
"source": [
"from pyiron_atomistics import Project\n",
"import pyiron_gpl\n",
"from ase.lattice.compounds import B2\n",
"from pyiron_atomistics import ase_to_pyiron"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "abf1afd7-a6a1-46b5-99f1-6d74f5986cb1",
"metadata": {},
"outputs": [],
"source": [
"# from structdbrest import StructDBLightRester\n",
"# rest = StructDBLightRester(token=\"workshop2021\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "5bb172cc-4881-4928-baa0-18ccef0e544c",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pylab as plt\n",
"import matplotlib as mpl\n",
"from matplotlib.patches import Rectangle\n",
"from matplotlib.colors import LogNorm, PowerNorm\n",
"\n",
"linewidth = 3\n",
"axis_width = linewidth - 1\n",
"\n",
"# Figure parameters\n",
"mpl.rcParams[\"figure.titlesize\"] = 38\n",
"mpl.rcParams[\"figure.figsize\"] = 10, 8\n",
"mpl.rcParams[\"figure.subplot.wspace\"] = 0.6\n",
"mpl.rcParams[\"figure.subplot.hspace\"] = 0.6\n",
"\n",
"# Line parameters\n",
"mpl.rcParams['lines.linewidth'] = linewidth\n",
"mpl.rcParams['lines.markeredgewidth'] = linewidth\n",
"mpl.rcParams['lines.markersize'] = linewidth\n",
"\n",
"# Font parameters\n",
"#mpl.rcParams['font.family'] = 'Times New Roman'\n",
"\n",
"mpl.rcParams['font.family'] = 'Times New Roman'\n",
"mpl.rcParams['font.size'] = 20\n",
"\n",
"# Latex params\n",
"#mpl.rcParams['text.usetex'] = True\n",
"\n",
"# Axes parameters\n",
"mpl.rcParams['axes.linewidth'] = axis_width\n",
"mpl.rcParams['axes.titlesize'] = 20\n",
"mpl.rcParams['axes.labelsize'] = 20\n",
"\n",
"# Tick parameters\n",
"mpl.rcParams[\"xtick.top\"] = True\n",
"mpl.rcParams[\"xtick.major.size\"] = 2 * linewidth + 1\n",
"mpl.rcParams[\"xtick.minor.size\"] = linewidth\n",
"mpl.rcParams[\"xtick.major.width\"] = axis_width\n",
"mpl.rcParams[\"xtick.labelsize\"] = 20\n",
"mpl.rcParams[\"xtick.direction\"] = \"in\"\n",
"mpl.rcParams[\"ytick.right\"] = True\n",
"mpl.rcParams[\"ytick.major.size\"] = 2 * linewidth + 1\n",
"mpl.rcParams[\"ytick.minor.size\"] = linewidth\n",
"mpl.rcParams[\"ytick.major.width\"] = axis_width\n",
"mpl.rcParams[\"ytick.labelsize\"] = 20\n",
"mpl.rcParams[\"ytick.direction\"] = \"in\"\n",
"\n",
"# Grid parameters\n",
"mpl.rcParams[\"grid.linewidth\"] = axis_width ## in points\n",
"\n",
"# Legend parameters\n",
"mpl.rcParams[\"legend.framealpha\"] = 1\n",
"mpl.rcParams[\"legend.edgecolor\"] = \"k\"\n",
"mpl.rcParams[\"legend.fancybox\"] = False\n",
"mpl.rcParams[\"legend.fontsize\"] = 20\n",
"\n",
"# Mathtext parameters parameters\n",
"mpl.rcParams[\"mathtext.fontset\"] = \"stix\"\n",
"\n",
"#del mpl.font_manager.weight_dict['roman']\n",
"#mpl.font_manager._rebuild()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "706be2a9-5f94-4eb5-8e4f-6c349fe216b3",
"metadata": {},
"outputs": [],
"source": [
"pr = Project(\"validation_test\")\n",
"####pr.remove_jobs(silently=True, recursive=True)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "9bd63883-25b3-441f-9b4b-b3c960a179aa",
"metadata": {},
"outputs": [],
"source": [
"##########! rm -rf validation_test"
]
},
{
"cell_type": "markdown",
"id": "fed285ea-9c22-4bf9-a6a6-c4687b140563",
"metadata": {},
"source": [
"## Generate list of potentials (after fitting)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "d7626bae-f843-42be-b34d-9b304074857c",
"metadata": {},
"outputs": [],
"source": [
"dummy = pr.create.job.Lammps(\"dummy\")\n",
"dummy.structure = pr.create_ase_bulk(\"Al\", cubic=True)\n",
"dummy.structure[0] = \"Ni\"\n",
"potential_list = dummy.list_potentials()[:3]"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "b3f1adb0-4b06-4ca8-8bd5-6402fc65c669",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['1995--Angelo-J-E--Ni-Al-H--LAMMPS--ipr1',\n",
" '2002--Mishin-Y--Ni-Al--LAMMPS--ipr1',\n",
" '2004--Mishin-Y--Ni-Al--LAMMPS--ipr1']"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"potential_list"
]
},
{
"cell_type": "markdown",
"id": "3b84ed62-e841-4526-893e-dc4f61477c88",
"metadata": {},
"source": [
"## Iterate over all potentials and all possible phases"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "28778cef-2a07-4794-888f-7239500e7b5a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'Al': {'s_murn': ['fcc', 'bcc', 'sc'], 'a': 4.04},\n",
" 'Ni': {'s_murn': ['fcc', 'bcc', 'sc'], 'a': 3.5},\n",
" 'NiAl': {'s_murn': ['B2'], 'a': 3.7}}"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"struct_dict = dict()\n",
"struct_dict[\"Al\"] = dict()\n",
"struct_dict[\"Al\"][\"s_murn\"] = [\"fcc\", \"bcc\", \"sc\"]\n",
"struct_dict[\"Al\"][\"a\"] = 4.04\n",
"\n",
"struct_dict[\"Ni\"] = dict()\n",
"struct_dict[\"Ni\"][\"s_murn\"] = [\"fcc\", \"bcc\", \"sc\"]\n",
"struct_dict[\"Ni\"][\"a\"] = 3.5\n",
"\n",
"\n",
"struct_dict[\"NiAl\"] = dict()\n",
"struct_dict[\"NiAl\"][\"s_murn\"] = [\"B2\"]\n",
"struct_dict[\"NiAl\"][\"a\"] = 3.7\n",
"\n",
"\n",
"\n",
"struct_dict"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "fdc720f8-0a31-4be4-a47a-9909f23e4442",
"metadata": {},
"outputs": [],
"source": [
"def clean_project_name(name):\n",
" return name.replace(\"-\", \"_\").replace(\".\", \"_\")"
]
},
{
"cell_type": "markdown",
"id": "198e9745-734a-4502-8f1b-0330ba8c8fca",
"metadata": {},
"source": [
"### Ground state: E-V curves"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "13f095d2-44d7-4711-b9a5-d58a95af42f6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The job Al_fcc_relax was saved and received the ID: 16677135\n",
"The job murn_job_Al_fcc was saved and received the ID: 16677136\n",
"The job murn_job_Al_fcc_0_9 was saved and received the ID: 16677137\n",
"The job murn_job_Al_fcc_0_92 was saved and received the ID: 16677138\n",
"The job murn_job_Al_fcc_0_94 was saved and received the ID: 16677139\n",
"The job murn_job_Al_fcc_0_96 was saved and received the ID: 16677140\n",
"The job murn_job_Al_fcc_0_98 was saved and received the ID: 16677141\n",
"The job murn_job_Al_fcc_1_0 was saved and received the ID: 16677142\n",
"The job murn_job_Al_fcc_1_02 was saved and received the ID: 16677143\n",
"The job murn_job_Al_fcc_1_04 was saved and received the ID: 16677144\n",
"The job murn_job_Al_fcc_1_06 was saved and received the ID: 16677145\n",
"The job murn_job_Al_fcc_1_08 was saved and received the ID: 16677146\n",
"The job murn_job_Al_fcc_1_1 was saved and received the ID: 16677147\n",
"The job Al_bcc_relax was saved and received the ID: 16677148\n",
"The job murn_job_Al_bcc was saved and received the ID: 16677149\n",
"The job murn_job_Al_bcc_0_9 was saved and received the ID: 16677150\n",
"The job murn_job_Al_bcc_0_92 was saved and received the ID: 16677151\n",
"The job murn_job_Al_bcc_0_94 was saved and received the ID: 16677152\n",
"The job murn_job_Al_bcc_0_96 was saved and received the ID: 16677153\n",
"The job murn_job_Al_bcc_0_98 was saved and received the ID: 16677154\n",
"The job murn_job_Al_bcc_1_0 was saved and received the ID: 16677155\n",
"The job murn_job_Al_bcc_1_02 was saved and received the ID: 16677156\n",
"The job murn_job_Al_bcc_1_04 was saved and received the ID: 16677157\n",
"The job murn_job_Al_bcc_1_06 was saved and received the ID: 16677158\n",
"The job murn_job_Al_bcc_1_08 was saved and received the ID: 16677159\n",
"The job murn_job_Al_bcc_1_1 was saved and received the ID: 16677160\n",
"The job Al_sc_relax was saved and received the ID: 16677161\n",
"The job murn_job_Al_sc was saved and received the ID: 16677162\n",
"The job murn_job_Al_sc_0_9 was saved and received the ID: 16677163\n",
"The job murn_job_Al_sc_0_92 was saved and received the ID: 16677164\n",
"The job murn_job_Al_sc_0_94 was saved and received the ID: 16677165\n",
"The job murn_job_Al_sc_0_96 was saved and received the ID: 16677166\n",
"The job murn_job_Al_sc_0_98 was saved and received the ID: 16677167\n",
"The job murn_job_Al_sc_1_0 was saved and received the ID: 16677168\n",
"The job murn_job_Al_sc_1_02 was saved and received the ID: 16677169\n",
"The job murn_job_Al_sc_1_04 was saved and received the ID: 16677170\n",
"The job murn_job_Al_sc_1_06 was saved and received the ID: 16677171\n",
"The job murn_job_Al_sc_1_08 was saved and received the ID: 16677172\n",
"The job murn_job_Al_sc_1_1 was saved and received the ID: 16677173\n",
"The job Ni_fcc_relax was saved and received the ID: 16677174\n",
"The job murn_job_Ni_fcc was saved and received the ID: 16677175\n",
"The job murn_job_Ni_fcc_0_9 was saved and received the ID: 16677176\n",
"The job murn_job_Ni_fcc_0_92 was saved and received the ID: 16677177\n",
"The job murn_job_Ni_fcc_0_94 was saved and received the ID: 16677178\n",
"The job murn_job_Ni_fcc_0_96 was saved and received the ID: 16677179\n",
"The job murn_job_Ni_fcc_0_98 was saved and received the ID: 16677180\n",
"The job murn_job_Ni_fcc_1_0 was saved and received the ID: 16677181\n",
"The job murn_job_Ni_fcc_1_02 was saved and received the ID: 16677182\n",
"The job murn_job_Ni_fcc_1_04 was saved and received the ID: 16677183\n",
"The job murn_job_Ni_fcc_1_06 was saved and received the ID: 16677184\n",
"The job murn_job_Ni_fcc_1_08 was saved and received the ID: 16677185\n",
"The job murn_job_Ni_fcc_1_1 was saved and received the ID: 16677186\n",
"The job Ni_bcc_relax was saved and received the ID: 16677187\n",
"The job murn_job_Ni_bcc was saved and received the ID: 16677188\n",
"The job murn_job_Ni_bcc_0_9 was saved and received the ID: 16677189\n",
"The job murn_job_Ni_bcc_0_92 was saved and received the ID: 16677190\n",
"The job murn_job_Ni_bcc_0_94 was saved and received the ID: 16677191\n",
"The job murn_job_Ni_bcc_0_96 was saved and received the ID: 16677192\n",
"The job murn_job_Ni_bcc_0_98 was saved and received the ID: 16677193\n",
"The job murn_job_Ni_bcc_1_0 was saved and received the ID: 16677194\n",
"The job murn_job_Ni_bcc_1_02 was saved and received the ID: 16677195\n",
"The job murn_job_Ni_bcc_1_04 was saved and received the ID: 16677196\n",
"The job murn_job_Ni_bcc_1_06 was saved and received the ID: 16677197\n",
"The job murn_job_Ni_bcc_1_08 was saved and received the ID: 16677198\n",
"The job murn_job_Ni_bcc_1_1 was saved and received the ID: 16677200\n",
"The job Ni_sc_relax was saved and received the ID: 16677201\n",
"The job murn_job_Ni_sc was saved and received the ID: 16677202\n",
"The job murn_job_Ni_sc_0_9 was saved and received the ID: 16677203\n",
"The job murn_job_Ni_sc_0_92 was saved and received the ID: 16677204\n",
"The job murn_job_Ni_sc_0_94 was saved and received the ID: 16677205\n",
"The job murn_job_Ni_sc_0_96 was saved and received the ID: 16677207\n",
"The job murn_job_Ni_sc_0_98 was saved and received the ID: 16677208\n",
"The job murn_job_Ni_sc_1_0 was saved and received the ID: 16677209\n",
"The job murn_job_Ni_sc_1_02 was saved and received the ID: 16677210\n",
"The job murn_job_Ni_sc_1_04 was saved and received the ID: 16677211\n",
"The job murn_job_Ni_sc_1_06 was saved and received the ID: 16677212\n",
"The job murn_job_Ni_sc_1_08 was saved and received the ID: 16677213\n",
"The job murn_job_Ni_sc_1_1 was saved and received the ID: 16677214\n",
"The job NiAl_B2_relax was saved and received the ID: 16677215\n",
"The job murn_job_NiAl_B2 was saved and received the ID: 16677216\n",
"The job murn_job_NiAl_B2_0_9 was saved and received the ID: 16677217\n",
"The job murn_job_NiAl_B2_0_92 was saved and received the ID: 16677218\n",
"The job murn_job_NiAl_B2_0_94 was saved and received the ID: 16677219\n",
"The job murn_job_NiAl_B2_0_96 was saved and received the ID: 16677220\n",
"The job murn_job_NiAl_B2_0_98 was saved and received the ID: 16677221\n",
"The job murn_job_NiAl_B2_1_0 was saved and received the ID: 16677222\n",
"The job murn_job_NiAl_B2_1_02 was saved and received the ID: 16677223\n",
"The job murn_job_NiAl_B2_1_04 was saved and received the ID: 16677224\n",
"The job murn_job_NiAl_B2_1_06 was saved and received the ID: 16677225\n",
"The job murn_job_NiAl_B2_1_08 was saved and received the ID: 16677226\n",
"The job murn_job_NiAl_B2_1_1 was saved and received the ID: 16677227\n",
"The job Al_fcc_relax was saved and received the ID: 16677228\n",
"The job murn_job_Al_fcc was saved and received the ID: 16677229\n",
"The job murn_job_Al_fcc_0_9 was saved and received the ID: 16677230\n",
"The job murn_job_Al_fcc_0_92 was saved and received the ID: 16677231\n",
"The job murn_job_Al_fcc_0_94 was saved and received the ID: 16677232\n",
"The job murn_job_Al_fcc_0_96 was saved and received the ID: 16677233\n",
"The job murn_job_Al_fcc_0_98 was saved and received the ID: 16677234\n",
"The job murn_job_Al_fcc_1_0 was saved and received the ID: 16677235\n",
"The job murn_job_Al_fcc_1_02 was saved and received the ID: 16677236\n",
"The job murn_job_Al_fcc_1_04 was saved and received the ID: 16677237\n",
"The job murn_job_Al_fcc_1_06 was saved and received the ID: 16677238\n",
"The job murn_job_Al_fcc_1_08 was saved and received the ID: 16677239\n",
"The job murn_job_Al_fcc_1_1 was saved and received the ID: 16677240\n",
"The job Al_bcc_relax was saved and received the ID: 16677241\n",
"The job murn_job_Al_bcc was saved and received the ID: 16677242\n",
"The job murn_job_Al_bcc_0_9 was saved and received the ID: 16677243\n",
"The job murn_job_Al_bcc_0_92 was saved and received the ID: 16677244\n",
"The job murn_job_Al_bcc_0_94 was saved and received the ID: 16677245\n",
"The job murn_job_Al_bcc_0_96 was saved and received the ID: 16677246\n",
"The job murn_job_Al_bcc_0_98 was saved and received the ID: 16677247\n",
"The job murn_job_Al_bcc_1_0 was saved and received the ID: 16677248\n",
"The job murn_job_Al_bcc_1_02 was saved and received the ID: 16677249\n",
"The job murn_job_Al_bcc_1_04 was saved and received the ID: 16677250\n",
"The job murn_job_Al_bcc_1_06 was saved and received the ID: 16677251\n",
"The job murn_job_Al_bcc_1_08 was saved and received the ID: 16677252\n",
"The job murn_job_Al_bcc_1_1 was saved and received the ID: 16677253\n",
"The job Al_sc_relax was saved and received the ID: 16677254\n",
"The job murn_job_Al_sc was saved and received the ID: 16677255\n",
"The job murn_job_Al_sc_0_9 was saved and received the ID: 16677256\n",
"The job murn_job_Al_sc_0_92 was saved and received the ID: 16677257\n",
"The job murn_job_Al_sc_0_94 was saved and received the ID: 16677258\n",
"The job murn_job_Al_sc_0_96 was saved and received the ID: 16677259\n",
"The job murn_job_Al_sc_0_98 was saved and received the ID: 16677260\n",
"The job murn_job_Al_sc_1_0 was saved and received the ID: 16677261\n",
"The job murn_job_Al_sc_1_02 was saved and received the ID: 16677262\n",
"The job murn_job_Al_sc_1_04 was saved and received the ID: 16677263\n",
"The job murn_job_Al_sc_1_06 was saved and received the ID: 16677264\n",
"The job murn_job_Al_sc_1_08 was saved and received the ID: 16677265\n",
"The job murn_job_Al_sc_1_1 was saved and received the ID: 16677266\n",
"The job Ni_fcc_relax was saved and received the ID: 16677267\n",
"The job murn_job_Ni_fcc was saved and received the ID: 16677268\n",
"The job murn_job_Ni_fcc_0_9 was saved and received the ID: 16677269\n",
"The job murn_job_Ni_fcc_0_92 was saved and received the ID: 16677270\n",
"The job murn_job_Ni_fcc_0_94 was saved and received the ID: 16677271\n",
"The job murn_job_Ni_fcc_0_96 was saved and received the ID: 16677272\n",
"The job murn_job_Ni_fcc_0_98 was saved and received the ID: 16677273\n",
"The job murn_job_Ni_fcc_1_0 was saved and received the ID: 16677274\n",
"The job murn_job_Ni_fcc_1_02 was saved and received the ID: 16677275\n",
"The job murn_job_Ni_fcc_1_04 was saved and received the ID: 16677276\n",
"The job murn_job_Ni_fcc_1_06 was saved and received the ID: 16677277\n",
"The job murn_job_Ni_fcc_1_08 was saved and received the ID: 16677278\n",
"The job murn_job_Ni_fcc_1_1 was saved and received the ID: 16677279\n",
"The job Ni_bcc_relax was saved and received the ID: 16677280\n",
"The job murn_job_Ni_bcc was saved and received the ID: 16677281\n",
"The job murn_job_Ni_bcc_0_9 was saved and received the ID: 16677282\n",
"The job murn_job_Ni_bcc_0_92 was saved and received the ID: 16677284\n",
"The job murn_job_Ni_bcc_0_94 was saved and received the ID: 16677285\n",
"The job murn_job_Ni_bcc_0_96 was saved and received the ID: 16677287\n",
"The job murn_job_Ni_bcc_0_98 was saved and received the ID: 16677288\n",
"The job murn_job_Ni_bcc_1_0 was saved and received the ID: 16677289\n",
"The job murn_job_Ni_bcc_1_02 was saved and received the ID: 16677290\n",
"The job murn_job_Ni_bcc_1_04 was saved and received the ID: 16677291\n",
"The job murn_job_Ni_bcc_1_06 was saved and received the ID: 16677292\n",
"The job murn_job_Ni_bcc_1_08 was saved and received the ID: 16677293\n",
"The job murn_job_Ni_bcc_1_1 was saved and received the ID: 16677294\n",
"The job Ni_sc_relax was saved and received the ID: 16677295\n",
"The job murn_job_Ni_sc was saved and received the ID: 16677296\n",
"The job murn_job_Ni_sc_0_9 was saved and received the ID: 16677297\n",
"The job murn_job_Ni_sc_0_92 was saved and received the ID: 16677298\n",
"The job murn_job_Ni_sc_0_94 was saved and received the ID: 16677299\n",
"The job murn_job_Ni_sc_0_96 was saved and received the ID: 16677300\n",
"The job murn_job_Ni_sc_0_98 was saved and received the ID: 16677301\n",
"The job murn_job_Ni_sc_1_0 was saved and received the ID: 16677302\n",
"The job murn_job_Ni_sc_1_02 was saved and received the ID: 16677303\n",
"The job murn_job_Ni_sc_1_04 was saved and received the ID: 16677304\n",
"The job murn_job_Ni_sc_1_06 was saved and received the ID: 16677305\n",
"The job murn_job_Ni_sc_1_08 was saved and received the ID: 16677306\n",
"The job murn_job_Ni_sc_1_1 was saved and received the ID: 16677307\n",
"The job NiAl_B2_relax was saved and received the ID: 16677308\n",
"The job murn_job_NiAl_B2 was saved and received the ID: 16677309\n",
"The job murn_job_NiAl_B2_0_9 was saved and received the ID: 16677310\n",
"The job murn_job_NiAl_B2_0_92 was saved and received the ID: 16677311\n",
"The job murn_job_NiAl_B2_0_94 was saved and received the ID: 16677312\n",
"The job murn_job_NiAl_B2_0_96 was saved and received the ID: 16677313\n",
"The job murn_job_NiAl_B2_0_98 was saved and received the ID: 16677314\n",
"The job murn_job_NiAl_B2_1_0 was saved and received the ID: 16677315\n",
"The job murn_job_NiAl_B2_1_02 was saved and received the ID: 16677316\n",
"The job murn_job_NiAl_B2_1_04 was saved and received the ID: 16677317\n",
"The job murn_job_NiAl_B2_1_06 was saved and received the ID: 16677318\n",
"The job murn_job_NiAl_B2_1_08 was saved and received the ID: 16677319\n",
"The job murn_job_NiAl_B2_1_1 was saved and received the ID: 16677320\n",
"The job Al_fcc_relax was saved and received the ID: 16677321\n",
"The job murn_job_Al_fcc was saved and received the ID: 16677322\n",
"The job murn_job_Al_fcc_0_9 was saved and received the ID: 16677323\n",
"The job murn_job_Al_fcc_0_92 was saved and received the ID: 16677324\n",
"The job murn_job_Al_fcc_0_94 was saved and received the ID: 16677325\n",
"The job murn_job_Al_fcc_0_96 was saved and received the ID: 16677326\n",
"The job murn_job_Al_fcc_0_98 was saved and received the ID: 16677327\n",
"The job murn_job_Al_fcc_1_0 was saved and received the ID: 16677328\n",
"The job murn_job_Al_fcc_1_02 was saved and received the ID: 16677329\n",
"The job murn_job_Al_fcc_1_04 was saved and received the ID: 16677330\n",
"The job murn_job_Al_fcc_1_06 was saved and received the ID: 16677331\n",
"The job murn_job_Al_fcc_1_08 was saved and received the ID: 16677332\n",
"The job murn_job_Al_fcc_1_1 was saved and received the ID: 16677333\n",
"The job Al_bcc_relax was saved and received the ID: 16677334\n",
"The job murn_job_Al_bcc was saved and received the ID: 16677335\n",
"The job murn_job_Al_bcc_0_9 was saved and received the ID: 16677336\n",
"The job murn_job_Al_bcc_0_92 was saved and received the ID: 16677337\n",
"The job murn_job_Al_bcc_0_94 was saved and received the ID: 16677338\n",
"The job murn_job_Al_bcc_0_96 was saved and received the ID: 16677339\n",
"The job murn_job_Al_bcc_0_98 was saved and received the ID: 16677340\n",
"The job murn_job_Al_bcc_1_0 was saved and received the ID: 16677341\n",
"The job murn_job_Al_bcc_1_02 was saved and received the ID: 16677342\n",
"The job murn_job_Al_bcc_1_04 was saved and received the ID: 16677343\n",
"The job murn_job_Al_bcc_1_06 was saved and received the ID: 16677344\n",
"The job murn_job_Al_bcc_1_08 was saved and received the ID: 16677345\n",
"The job murn_job_Al_bcc_1_1 was saved and received the ID: 16677346\n",
"The job Al_sc_relax was saved and received the ID: 16677347\n",
"The job murn_job_Al_sc was saved and received the ID: 16677348\n",
"The job murn_job_Al_sc_0_9 was saved and received the ID: 16677349\n",
"The job murn_job_Al_sc_0_92 was saved and received the ID: 16677350\n",
"The job murn_job_Al_sc_0_94 was saved and received the ID: 16677351\n",
"The job murn_job_Al_sc_0_96 was saved and received the ID: 16677352\n",
"The job murn_job_Al_sc_0_98 was saved and received the ID: 16677353\n",
"The job murn_job_Al_sc_1_0 was saved and received the ID: 16677354\n",
"The job murn_job_Al_sc_1_02 was saved and received the ID: 16677355\n",
"The job murn_job_Al_sc_1_04 was saved and received the ID: 16677356\n",
"The job murn_job_Al_sc_1_06 was saved and received the ID: 16677357\n",
"The job murn_job_Al_sc_1_08 was saved and received the ID: 16677358\n",
"The job murn_job_Al_sc_1_1 was saved and received the ID: 16677359\n",
"The job Ni_fcc_relax was saved and received the ID: 16677360\n",
"The job murn_job_Ni_fcc was saved and received the ID: 16677361\n",
"The job murn_job_Ni_fcc_0_9 was saved and received the ID: 16677362\n",
"The job murn_job_Ni_fcc_0_92 was saved and received the ID: 16677363\n",
"The job murn_job_Ni_fcc_0_94 was saved and received the ID: 16677364\n",
"The job murn_job_Ni_fcc_0_96 was saved and received the ID: 16677365\n",
"The job murn_job_Ni_fcc_0_98 was saved and received the ID: 16677366\n",
"The job murn_job_Ni_fcc_1_0 was saved and received the ID: 16677367\n",
"The job murn_job_Ni_fcc_1_02 was saved and received the ID: 16677368\n",
"The job murn_job_Ni_fcc_1_04 was saved and received the ID: 16677369\n",
"The job murn_job_Ni_fcc_1_06 was saved and received the ID: 16677370\n",
"The job murn_job_Ni_fcc_1_08 was saved and received the ID: 16677371\n",
"The job murn_job_Ni_fcc_1_1 was saved and received the ID: 16677372\n",
"The job Ni_bcc_relax was saved and received the ID: 16677373\n",
"The job murn_job_Ni_bcc was saved and received the ID: 16677374\n",
"The job murn_job_Ni_bcc_0_9 was saved and received the ID: 16677375\n",
"The job murn_job_Ni_bcc_0_92 was saved and received the ID: 16677376\n",
"The job murn_job_Ni_bcc_0_94 was saved and received the ID: 16677377\n",
"The job murn_job_Ni_bcc_0_96 was saved and received the ID: 16677378\n",
"The job murn_job_Ni_bcc_0_98 was saved and received the ID: 16677379\n",
"The job murn_job_Ni_bcc_1_0 was saved and received the ID: 16677380\n",
"The job murn_job_Ni_bcc_1_02 was saved and received the ID: 16677381\n",
"The job murn_job_Ni_bcc_1_04 was saved and received the ID: 16677382\n",
"The job murn_job_Ni_bcc_1_06 was saved and received the ID: 16677383\n",
"The job murn_job_Ni_bcc_1_08 was saved and received the ID: 16677384\n",
"The job murn_job_Ni_bcc_1_1 was saved and received the ID: 16677385\n",
"The job Ni_sc_relax was saved and received the ID: 16677386\n",
"The job murn_job_Ni_sc was saved and received the ID: 16677387\n",
"The job murn_job_Ni_sc_0_9 was saved and received the ID: 16677388\n",
"The job murn_job_Ni_sc_0_92 was saved and received the ID: 16677389\n",
"The job murn_job_Ni_sc_0_94 was saved and received the ID: 16677390\n",
"The job murn_job_Ni_sc_0_96 was saved and received the ID: 16677391\n",
"The job murn_job_Ni_sc_0_98 was saved and received the ID: 16677392\n",
"The job murn_job_Ni_sc_1_0 was saved and received the ID: 16677393\n",
"The job murn_job_Ni_sc_1_02 was saved and received the ID: 16677394\n",
"The job murn_job_Ni_sc_1_04 was saved and received the ID: 16677395\n",
"The job murn_job_Ni_sc_1_06 was saved and received the ID: 16677396\n",
"The job murn_job_Ni_sc_1_08 was saved and received the ID: 16677397\n",
"The job murn_job_Ni_sc_1_1 was saved and received the ID: 16677398\n",
"The job NiAl_B2_relax was saved and received the ID: 16677399\n",
"The job murn_job_NiAl_B2 was saved and received the ID: 16677401\n",
"The job murn_job_NiAl_B2_0_9 was saved and received the ID: 16677402\n",
"The job murn_job_NiAl_B2_0_92 was saved and received the ID: 16677404\n",
"The job murn_job_NiAl_B2_0_94 was saved and received the ID: 16677405\n",
"The job murn_job_NiAl_B2_0_96 was saved and received the ID: 16677406\n",
"The job murn_job_NiAl_B2_0_98 was saved and received the ID: 16677407\n",
"The job murn_job_NiAl_B2_1_0 was saved and received the ID: 16677408\n",
"The job murn_job_NiAl_B2_1_02 was saved and received the ID: 16677409\n",
"The job murn_job_NiAl_B2_1_04 was saved and received the ID: 16677411\n",
"The job murn_job_NiAl_B2_1_06 was saved and received the ID: 16677413\n",
"The job murn_job_NiAl_B2_1_08 was saved and received the ID: 16677414\n",
"The job murn_job_NiAl_B2_1_1 was saved and received the ID: 16677415\n"
]
}
],
"source": [
"for pot in potential_list:\n",
" with pr.open(clean_project_name(pot)) as pr_pot:\n",
" for compound, compound_dict in struct_dict.items():\n",
" for crys_structure in compound_dict[\"s_murn\"]:\n",
" \n",
" # Relax structure\n",
" if crys_structure == \"B2\":\n",
" basis = ase_to_pyiron(B2([\"Ni\", \"Al\"], latticeconstant=compound_dict[\"a\"]))\n",
" else:\n",
" basis = pr_pot.create_ase_bulk(compound, crys_structure, a=compound_dict[\"a\"])\n",
" job_relax = pr_pot.create_job(pr_pot.job_type.Lammps, f\"{compound}_{crys_structure}_relax\", delete_existing_job=True)\n",
"\n",
" job_relax.structure = basis\n",
" job_relax.potential = pot\n",
" job_relax.calc_minimize(pressure=0)\n",
" job_relax.run()\n",
" \n",
" # Murnaghan\n",
" job_ref = pr_pot.create_job(pr_pot.job_type.Lammps, f\"ref_job_{compound}_{crys_structure}\")\n",
" job_ref.structure = job_relax.get_structure(-1)\n",
" job_ref.potential = pot\n",
" job_ref.calc_minimize()\n",
" murn_job = job_ref.create_job(pr_pot.job_type.Murnaghan, f\"murn_job_{compound}_{crys_structure}\")\n",
" murn_job.input[\"vol_range\"] = 0.1\n",
" murn_job.run()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "fdc89ebb-3c2a-4315-8fe0-3ae470375223",
"metadata": {},
"outputs": [],
"source": [
"##pr.remove_jobs(recursive=True)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "ef2f414b-64b8-49aa-87e9-e204950da938",
"metadata": {},
"outputs": [],
"source": [
"# Define functions to get data\n",
"\n",
"# Only work with Murnaghan jobs\n",
"def get_only_murn(job_table):\n",
" return (job_table.hamilton == \"Murnaghan\") & (job_table.status == \"finished\") \n",
"\n",
"def get_eq_vol(job_path):\n",
" return job_path[\"output/equilibrium_volume\"]\n",
"\n",
"def get_eq_lp(job_path):\n",
" return np.linalg.norm(job_path[\"output/structure/cell/cell\"][0]) * np.sqrt(2)\n",
"\n",
"def get_eq_bm(job_path):\n",
" return job_path[\"output/equilibrium_bulk_modulus\"]\n",
"\n",
"def get_potential(job_path):\n",
" return job_path.project.path.split(\"/\")[-3]\n",
"\n",
"def get_eq_energy(job_path):\n",
" return job_path[\"output/equilibrium_energy\"]\n",
"\n",
"def get_n_atoms(job_path):\n",
" return len(job_path[\"output/structure/positions\"])\n",
"\n",
"\n",
"def get_potential(job_path):\n",
" return job_path.project.path.split(\"/\")[-2]\n",
"\n",
"def get_crystal_structure(job_path):\n",
" return job_path.job_name.split(\"_\")[-1]\n",
"\n",
"def get_compound(job_path):\n",
" return job_path.job_name.split(\"_\")[-2]"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "255c28af-e4af-48c6-ae01-e90377c94e32",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The job table_murn was saved and received the ID: 16677416\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "8c9a7c2999ed473ca9237e9dc69af3dd",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Loading and filtering jobs: 0%| | 0/21 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "13803a24627045be85eb7b7309aae513",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Processing jobs: 0%| | 0/21 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Compile data using pyiron tables\n",
"table = pr.create_table(\"table_murn\", delete_existing_job=True)\n",
"table.convert_to_object = True\n",
"table.db_filter_function = get_only_murn\n",
"table.add[\"potential\"] = get_potential\n",
"table.add[\"compound\"] = get_compound\n",
"table.add[\"crystal_structure\"] = get_crystal_structure\n",
"table.add[\"a\"] = get_eq_lp\n",
"table.add[\"eq_vol\"] = get_eq_vol\n",
"table.add[\"eq_bm\"] = get_eq_bm\n",
"table.add[\"eq_energy\"] = get_eq_energy\n",
"table.add[\"n_atoms\"] = get_n_atoms\n",
"table.run()\n",
"data_murn = table.get_dataframe()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "240863b0-1934-4f83-abc1-69ad1796cca8",
"metadata": {},
"outputs": [],
"source": [
"pr.job_table(status=\"finished\");"
]
},
{
"cell_type": "markdown",
"id": "fba90359-a2a5-4f83-9fa8-6dc4d87f5743",
"metadata": {},
"source": [
"## Elastic constants and Phonons"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "0d1c799c-f10b-462d-aaea-253cee4b4b3e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1995--Angelo-J-E--Ni-Al-H--LAMMPS--ipr1\n",
"The job elastic_job_Al_fcc was saved and received the ID: 16677419\n",
"The job s_e_0 was saved and received the ID: 16677420\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677421\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677422\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677423\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677424\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677425\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677426\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677427\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677428\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677429\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677430\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677431\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677432\n",
"The job phonopy_job_Al_fcc was saved and received the ID: 16677433\n",
"The job ref_job_Al_fcc_0 was saved and received the ID: 16677434\n",
"The job elastic_job_Al_bcc was saved and received the ID: 16677435\n",
"The job s_e_0 was saved and received the ID: 16677436\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677437\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677438\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677439\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677440\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677441\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677442\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677443\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677444\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677445\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677446\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677447\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677448\n",
"The job phonopy_job_Al_bcc was saved and received the ID: 16677449\n",
"The job ref_job_Al_bcc_0 was saved and received the ID: 16677450\n",
"The job elastic_job_Al_sc was saved and received the ID: 16677451\n",
"The job s_e_0 was saved and received the ID: 16677452\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677453\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677454\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677455\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677456\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677457\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677458\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677459\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677460\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677461\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677462\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677463\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677464\n",
"The job phonopy_job_Al_sc was saved and received the ID: 16677465\n",
"The job ref_job_Al_sc_0 was saved and received the ID: 16677466\n",
"The job elastic_job_Ni_fcc was saved and received the ID: 16677467\n",
"The job s_e_0 was saved and received the ID: 16677468\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677469\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677470\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677471\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677472\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677473\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677474\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677475\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677476\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677477\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677478\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677479\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677480\n",
"The job phonopy_job_Ni_fcc was saved and received the ID: 16677481\n",
"The job ref_job_Ni_fcc_0 was saved and received the ID: 16677482\n",
"The job elastic_job_Ni_bcc was saved and received the ID: 16677483\n",
"The job s_e_0 was saved and received the ID: 16677484\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677485\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677486\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677487\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677488\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677489\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677490\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677491\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677492\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677493\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677494\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677495\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677496\n",
"The job phonopy_job_Ni_bcc was saved and received the ID: 16677497\n",
"The job ref_job_Ni_bcc_0 was saved and received the ID: 16677498\n",
"The job elastic_job_Ni_sc was saved and received the ID: 16677499\n",
"The job s_e_0 was saved and received the ID: 16677500\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677501\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677502\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677503\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677504\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677505\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677506\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677507\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677508\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677509\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677510\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677511\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677512\n",
"The job phonopy_job_Ni_sc was saved and received the ID: 16677513\n",
"The job ref_job_Ni_sc_0 was saved and received the ID: 16677514\n",
"The job elastic_job_NiAl_B2 was saved and received the ID: 16677515\n",
"The job s_e_0 was saved and received the ID: 16677516\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677517\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677518\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677519\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677520\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677521\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677522\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677523\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677524\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677525\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677526\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677527\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677528\n",
"The job phonopy_job_NiAl_B2 was saved and received the ID: 16677529\n",
"The job ref_job_NiAl_B2_0 was saved and received the ID: 16677530\n",
"The job ref_job_NiAl_B2_1 was saved and received the ID: 16677531\n",
"2002--Mishin-Y--Ni-Al--LAMMPS--ipr1\n",
"The job elastic_job_Al_fcc was saved and received the ID: 16677532\n",
"The job s_e_0 was saved and received the ID: 16677533\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677534\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677535\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677536\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677537\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677538\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677539\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677540\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677541\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677542\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677543\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677544\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677545\n",
"The job phonopy_job_Al_fcc was saved and received the ID: 16677546\n",
"The job ref_job_Al_fcc_0 was saved and received the ID: 16677547\n",
"The job elastic_job_Al_bcc was saved and received the ID: 16677548\n",
"The job s_e_0 was saved and received the ID: 16677549\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677550\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677551\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677552\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677553\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677554\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677555\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677556\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677557\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677558\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677559\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677560\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677561\n",
"The job phonopy_job_Al_bcc was saved and received the ID: 16677562\n",
"The job ref_job_Al_bcc_0 was saved and received the ID: 16677563\n",
"The job elastic_job_Al_sc was saved and received the ID: 16677564\n",
"The job s_e_0 was saved and received the ID: 16677565\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677566\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677567\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677568\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677569\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677570\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677571\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677572\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677573\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677574\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677575\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677576\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677577\n",
"The job phonopy_job_Al_sc was saved and received the ID: 16677578\n",
"The job ref_job_Al_sc_0 was saved and received the ID: 16677579\n",
"The job elastic_job_Ni_fcc was saved and received the ID: 16677580\n",
"The job s_e_0 was saved and received the ID: 16677581\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677582\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677583\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677584\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677585\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677586\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677587\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677588\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677589\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677590\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677591\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677592\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677593\n",
"The job phonopy_job_Ni_fcc was saved and received the ID: 16677594\n",
"The job ref_job_Ni_fcc_0 was saved and received the ID: 16677595\n",
"The job elastic_job_Ni_bcc was saved and received the ID: 16677596\n",
"The job s_e_0 was saved and received the ID: 16677597\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677598\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677599\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677600\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677601\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677602\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677603\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677604\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677605\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677606\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677607\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677608\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677609\n",
"The job phonopy_job_Ni_bcc was saved and received the ID: 16677610\n",
"The job ref_job_Ni_bcc_0 was saved and received the ID: 16677611\n",
"The job elastic_job_Ni_sc was saved and received the ID: 16677612\n",
"The job s_e_0 was saved and received the ID: 16677613\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677614\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677615\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677616\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677617\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677618\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677619\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677620\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677621\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677622\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677623\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677624\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677625\n",
"The job phonopy_job_Ni_sc was saved and received the ID: 16677626\n",
"The job ref_job_Ni_sc_0 was saved and received the ID: 16677627\n",
"The job elastic_job_NiAl_B2 was saved and received the ID: 16677628\n",
"The job s_e_0 was saved and received the ID: 16677629\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677630\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677631\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677632\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677633\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677634\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677635\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677636\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677637\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677638\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677639\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677640\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677641\n",
"The job phonopy_job_NiAl_B2 was saved and received the ID: 16677642\n",
"The job ref_job_NiAl_B2_0 was saved and received the ID: 16677643\n",
"The job ref_job_NiAl_B2_1 was saved and received the ID: 16677644\n",
"2004--Mishin-Y--Ni-Al--LAMMPS--ipr1\n",
"The job elastic_job_Al_fcc was saved and received the ID: 16677645\n",
"The job s_e_0 was saved and received the ID: 16677646\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677647\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677648\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677649\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677650\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677651\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677652\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677653\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677654\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677655\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677656\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677657\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677658\n",
"The job phonopy_job_Al_fcc was saved and received the ID: 16677659\n",
"The job ref_job_Al_fcc_0 was saved and received the ID: 16677660\n",
"The job elastic_job_Al_bcc was saved and received the ID: 16677661\n",
"The job s_e_0 was saved and received the ID: 16677662\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677663\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677664\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677665\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677666\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677667\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677668\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677669\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677670\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677671\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677672\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677673\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677674\n",
"The job phonopy_job_Al_bcc was saved and received the ID: 16677675\n",
"The job ref_job_Al_bcc_0 was saved and received the ID: 16677676\n",
"The job elastic_job_Al_sc was saved and received the ID: 16677677\n",
"The job s_e_0 was saved and received the ID: 16677678\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677679\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677680\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677681\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677682\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677683\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677684\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677685\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677686\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677687\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677688\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677689\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677690\n",
"The job phonopy_job_Al_sc was saved and received the ID: 16677691\n",
"The job ref_job_Al_sc_0 was saved and received the ID: 16677692\n",
"The job elastic_job_Ni_fcc was saved and received the ID: 16677693\n",
"The job s_e_0 was saved and received the ID: 16677694\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677695\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677696\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677697\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677698\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677699\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677700\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677701\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677702\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677703\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677704\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677705\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677706\n",
"The job phonopy_job_Ni_fcc was saved and received the ID: 16677707\n",
"The job ref_job_Ni_fcc_0 was saved and received the ID: 16677708\n",
"The job elastic_job_Ni_bcc was saved and received the ID: 16677709\n",
"The job s_e_0 was saved and received the ID: 16677710\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677711\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677712\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677713\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677714\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677715\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677716\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677717\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677718\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677719\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677720\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677721\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677722\n",
"The job phonopy_job_Ni_bcc was saved and received the ID: 16677723\n",
"The job ref_job_Ni_bcc_0 was saved and received the ID: 16677724\n",
"The job elastic_job_Ni_sc was saved and received the ID: 16677725\n",
"The job s_e_0 was saved and received the ID: 16677726\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677727\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677728\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677729\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677730\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677731\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677732\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677733\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677734\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677735\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677736\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677737\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677738\n",
"The job phonopy_job_Ni_sc was saved and received the ID: 16677739\n",
"The job ref_job_Ni_sc_0 was saved and received the ID: 16677740\n",
"The job elastic_job_NiAl_B2 was saved and received the ID: 16677741\n",
"The job s_e_0 was saved and received the ID: 16677742\n",
"The job s_01_e_m0_05000 was saved and received the ID: 16677743\n",
"The job s_01_e_m0_02500 was saved and received the ID: 16677744\n",
"The job s_01_e_0_02500 was saved and received the ID: 16677745\n",
"The job s_01_e_0_05000 was saved and received the ID: 16677746\n",
"The job s_08_e_m0_05000 was saved and received the ID: 16677747\n",
"The job s_08_e_m0_02500 was saved and received the ID: 16677748\n",
"The job s_08_e_0_02500 was saved and received the ID: 16677749\n",
"The job s_08_e_0_05000 was saved and received the ID: 16677750\n",
"The job s_23_e_m0_05000 was saved and received the ID: 16677751\n",
"The job s_23_e_m0_02500 was saved and received the ID: 16677752\n",
"The job s_23_e_0_02500 was saved and received the ID: 16677753\n",
"The job s_23_e_0_05000 was saved and received the ID: 16677754\n",
"The job phonopy_job_NiAl_B2 was saved and received the ID: 16677755\n",
"The job ref_job_NiAl_B2_0 was saved and received the ID: 16677756\n",
"The job ref_job_NiAl_B2_1 was saved and received the ID: 16677757\n"
]
}
],
"source": [
"for pot in potential_list:\n",
" group_name = clean_project_name(pot)\n",
" pr_pot = pr.create_group(group_name)\n",
" print(pot)\n",
" \n",
" for _, row in data_murn[data_murn.potential==group_name].iterrows():\n",
" job_id = row.job_id\n",
" \n",
" job_ref = pr_pot.create_job(pr_pot.job_type.Lammps, f\"ref_job_{row.compound}_{row.crystal_structure}\")\n",
" ref = pr_pot.load(job_id)\n",
" job_ref.structure = ref.structure\n",
" job_ref.potential = pot\n",
" job_ref.calc_minimize()\n",
" elastic_job = job_ref.create_job(pr_pot.job_type.ElasticMatrixJob, f\"elastic_job_{row.compound}_{row.crystal_structure}\")\n",
" elastic_job.input[\"eps_range\"] = 0.05\n",
" elastic_job.run()\n",
" \n",
" \n",
" phonopy_job = job_ref.create_job(pr_pot.job_type.PhonopyJob, f\"phonopy_job_{row.compound}_{row.crystal_structure}\")\n",
" job_ref.calc_static()\n",
" phonopy_job.run()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "a035813c-039d-4981-b3ba-516b40bb3c4d",
"metadata": {},
"outputs": [],
"source": [
"def filter_elastic(job_table):\n",
" return (job_table.hamilton == \"ElasticMatrixJob\") & (job_table.status == \"finished\")\n",
"\n",
"# Get corresponding lattice constants\n",
"def get_c11(job_path):\n",
" return job_path[\"output/elasticmatrix\"][\"C\"][0, 0]\n",
"\n",
"def get_c12(job_path):\n",
" return job_path[\"output/elasticmatrix\"][\"C\"][0, 1]\n",
"\n",
"def get_c44(job_path):\n",
" return job_path[\"output/elasticmatrix\"][\"C\"][3, 3]"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "ba95973a-a00f-41a9-b23f-2b4bcf629aaf",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The job table_elastic was saved and received the ID: 16677758\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "499a119b789b4b159a3d1be31f2ff08d",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Loading and filtering jobs: 0%| | 0/21 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "4c731254162348179b10b83202ddae9a",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Processing jobs: 0%| | 0/21 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>job_id</th>\n",
" <th>potential</th>\n",
" <th>C11</th>\n",
" <th>C12</th>\n",
" <th>C44</th>\n",
" <th>compound</th>\n",
" <th>crystal_structure</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>16677419</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>106.911467</td>\n",
" <td>69.255148</td>\n",
" <td>30.431795</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>16677435</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>37.182823</td>\n",
" <td>69.500184</td>\n",
" <td>8.164544</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>16677451</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>143.679178</td>\n",
" <td>76.980424</td>\n",
" <td>5.955743</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>16677467</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>241.409634</td>\n",
" <td>159.289244</td>\n",
" <td>123.327959</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>16677483</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>92.522127</td>\n",
" <td>155.137627</td>\n",
" <td>99.311026</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>16677499</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>383.279308</td>\n",
" <td>70.849396</td>\n",
" <td>-20.996755</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>16677515</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>211.238892</td>\n",
" <td>194.933767</td>\n",
" <td>173.145582</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>16677532</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>148.436993</td>\n",
" <td>62.156106</td>\n",
" <td>81.370388</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>16677548</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>27.653061</td>\n",
" <td>65.719354</td>\n",
" <td>76.312964</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>16677564</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>211.199570</td>\n",
" <td>0.788820</td>\n",
" <td>-12.844562</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>16677580</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>527.551695</td>\n",
" <td>290.787053</td>\n",
" <td>126.711367</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>16677596</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>212.644367</td>\n",
" <td>250.612195</td>\n",
" <td>102.118730</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>16677612</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>709.385976</td>\n",
" <td>127.425234</td>\n",
" <td>-7.397005</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>16677628</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>221.036773</td>\n",
" <td>143.274544</td>\n",
" <td>144.576187</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>16677645</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>115.582946</td>\n",
" <td>64.866432</td>\n",
" <td>36.746602</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>16677661</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>26.485353</td>\n",
" <td>67.603158</td>\n",
" <td>38.534427</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>16677677</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>146.569799</td>\n",
" <td>23.069712</td>\n",
" <td>-5.938088</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>16677693</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>235.738355</td>\n",
" <td>164.048239</td>\n",
" <td>131.587617</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>16677709</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>146.355889</td>\n",
" <td>168.584721</td>\n",
" <td>137.141307</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>16677725</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>232.892869</td>\n",
" <td>15.409803</td>\n",
" <td>-27.963859</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>16677741</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>291.266922</td>\n",
" <td>223.220888</td>\n",
" <td>183.860728</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" job_id potential C11 C12 \\\n",
"0 16677419 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 106.911467 69.255148 \n",
"1 16677435 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 37.182823 69.500184 \n",
"2 16677451 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 143.679178 76.980424 \n",
"3 16677467 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 241.409634 159.289244 \n",
"4 16677483 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 92.522127 155.137627 \n",
"5 16677499 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 383.279308 70.849396 \n",
"6 16677515 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 211.238892 194.933767 \n",
"7 16677532 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 148.436993 62.156106 \n",
"8 16677548 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 27.653061 65.719354 \n",
"9 16677564 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 211.199570 0.788820 \n",
"10 16677580 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 527.551695 290.787053 \n",
"11 16677596 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 212.644367 250.612195 \n",
"12 16677612 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 709.385976 127.425234 \n",
"13 16677628 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 221.036773 143.274544 \n",
"14 16677645 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 115.582946 64.866432 \n",
"15 16677661 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 26.485353 67.603158 \n",
"16 16677677 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 146.569799 23.069712 \n",
"17 16677693 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 235.738355 164.048239 \n",
"18 16677709 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 146.355889 168.584721 \n",
"19 16677725 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 232.892869 15.409803 \n",
"20 16677741 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 291.266922 223.220888 \n",
"\n",
" C44 compound crystal_structure \n",
"0 30.431795 Al fcc \n",
"1 8.164544 Al bcc \n",
"2 5.955743 Al sc \n",
"3 123.327959 Ni fcc \n",
"4 99.311026 Ni bcc \n",
"5 -20.996755 Ni sc \n",
"6 173.145582 NiAl B2 \n",
"7 81.370388 Al fcc \n",
"8 76.312964 Al bcc \n",
"9 -12.844562 Al sc \n",
"10 126.711367 Ni fcc \n",
"11 102.118730 Ni bcc \n",
"12 -7.397005 Ni sc \n",
"13 144.576187 NiAl B2 \n",
"14 36.746602 Al fcc \n",
"15 38.534427 Al bcc \n",
"16 -5.938088 Al sc \n",
"17 131.587617 Ni fcc \n",
"18 137.141307 Ni bcc \n",
"19 -27.963859 Ni sc \n",
"20 183.860728 NiAl B2 "
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"table = pr.create_table(\"table_elastic\", delete_existing_job=True)\n",
"table.db_filter_function = filter_elastic\n",
"table.add[\"potential\"] = get_potential\n",
"table.add[\"C11\"] = get_c11\n",
"table.add[\"C12\"] = get_c12\n",
"table.add[\"C44\"] = get_c44\n",
"table.add[\"compound\"] = get_compound\n",
"table.add[\"crystal_structure\"] = get_crystal_structure\n",
"\n",
"table.run()\n",
"data_elastic = table.get_dataframe()\n",
"data_elastic"
]
},
{
"cell_type": "markdown",
"id": "b33c7fa7-f2a8-4a53-9a03-35a7e4754ac7",
"metadata": {},
"source": [
"### Visualization of the results"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "48e970cb-c28e-436b-a0c5-dcd26f11d41b",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>job_id</th>\n",
" <th>potential</th>\n",
" <th>compound</th>\n",
" <th>crystal_structure</th>\n",
" <th>a</th>\n",
" <th>eq_vol</th>\n",
" <th>eq_bm</th>\n",
" <th>eq_energy</th>\n",
" <th>n_atoms</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>16677136</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" <td>4.050000</td>\n",
" <td>16.606962</td>\n",
" <td>81.040445</td>\n",
" <td>-3.360099</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>16677149</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" <td>4.124560</td>\n",
" <td>19.125925</td>\n",
" <td>65.638536</td>\n",
" <td>-3.272304</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>16677162</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" <td>3.825505</td>\n",
" <td>19.795529</td>\n",
" <td>93.278691</td>\n",
" <td>-3.311557</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>16677175</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" <td>3.520000</td>\n",
" <td>10.903140</td>\n",
" <td>184.675690</td>\n",
" <td>-4.450159</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>16677188</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" <td>3.510011</td>\n",
" <td>11.767642</td>\n",
" <td>137.936343</td>\n",
" <td>-4.372803</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>16677202</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" <td>3.350192</td>\n",
" <td>13.286747</td>\n",
" <td>181.269821</td>\n",
" <td>-3.974845</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>16677216</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" <td>4.048878</td>\n",
" <td>23.466248</td>\n",
" <td>191.838019</td>\n",
" <td>-8.851296</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>16677229</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" <td>4.051526</td>\n",
" <td>16.632938</td>\n",
" <td>95.999778</td>\n",
" <td>-3.361936</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>16677242</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" <td>4.025298</td>\n",
" <td>17.746010</td>\n",
" <td>51.011467</td>\n",
" <td>-3.279029</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>16677255</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" <td>3.899182</td>\n",
" <td>20.956057</td>\n",
" <td>68.928830</td>\n",
" <td>-2.947367</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>16677268</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" <td>3.452464</td>\n",
" <td>10.290036</td>\n",
" <td>398.812143</td>\n",
" <td>-4.500547</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>16677281</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" <td>3.408006</td>\n",
" <td>10.777042</td>\n",
" <td>237.555220</td>\n",
" <td>-4.384467</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>16677296</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" <td>3.166480</td>\n",
" <td>11.229065</td>\n",
" <td>337.696930</td>\n",
" <td>-4.075015</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>16677309</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" <td>4.042777</td>\n",
" <td>23.356240</td>\n",
" <td>164.752084</td>\n",
" <td>-8.930923</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>16677322</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" <td>4.050000</td>\n",
" <td>16.606871</td>\n",
" <td>80.836776</td>\n",
" <td>-3.360109</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>16677335</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" <td>3.962698</td>\n",
" <td>16.934019</td>\n",
" <td>53.467431</td>\n",
" <td>-3.267420</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>16677348</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" <td>3.854830</td>\n",
" <td>20.252349</td>\n",
" <td>64.666726</td>\n",
" <td>-3.063436</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>16677361</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" <td>3.520000</td>\n",
" <td>10.903077</td>\n",
" <td>185.513289</td>\n",
" <td>-4.450176</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>16677374</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" <td>3.391008</td>\n",
" <td>10.611768</td>\n",
" <td>155.492922</td>\n",
" <td>-4.382969</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>16677387</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" <td>3.389164</td>\n",
" <td>13.763845</td>\n",
" <td>89.750307</td>\n",
" <td>-3.726371</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>16677401</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" <td>4.047372</td>\n",
" <td>23.440061</td>\n",
" <td>243.213355</td>\n",
" <td>-8.991392</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" job_id potential compound \\\n",
"0 16677136 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Al \n",
"1 16677149 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Al \n",
"2 16677162 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Al \n",
"3 16677175 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Ni \n",
"4 16677188 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Ni \n",
"5 16677202 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Ni \n",
"6 16677216 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 NiAl \n",
"7 16677229 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"8 16677242 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"9 16677255 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"10 16677268 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"11 16677281 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"12 16677296 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"13 16677309 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 NiAl \n",
"14 16677322 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"15 16677335 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"16 16677348 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"17 16677361 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"18 16677374 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"19 16677387 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"20 16677401 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 NiAl \n",
"\n",
" crystal_structure a eq_vol eq_bm eq_energy n_atoms \n",
"0 fcc 4.050000 16.606962 81.040445 -3.360099 1 \n",
"1 bcc 4.124560 19.125925 65.638536 -3.272304 1 \n",
"2 sc 3.825505 19.795529 93.278691 -3.311557 1 \n",
"3 fcc 3.520000 10.903140 184.675690 -4.450159 1 \n",
"4 bcc 3.510011 11.767642 137.936343 -4.372803 1 \n",
"5 sc 3.350192 13.286747 181.269821 -3.974845 1 \n",
"6 B2 4.048878 23.466248 191.838019 -8.851296 2 \n",
"7 fcc 4.051526 16.632938 95.999778 -3.361936 1 \n",
"8 bcc 4.025298 17.746010 51.011467 -3.279029 1 \n",
"9 sc 3.899182 20.956057 68.928830 -2.947367 1 \n",
"10 fcc 3.452464 10.290036 398.812143 -4.500547 1 \n",
"11 bcc 3.408006 10.777042 237.555220 -4.384467 1 \n",
"12 sc 3.166480 11.229065 337.696930 -4.075015 1 \n",
"13 B2 4.042777 23.356240 164.752084 -8.930923 2 \n",
"14 fcc 4.050000 16.606871 80.836776 -3.360109 1 \n",
"15 bcc 3.962698 16.934019 53.467431 -3.267420 1 \n",
"16 sc 3.854830 20.252349 64.666726 -3.063436 1 \n",
"17 fcc 3.520000 10.903077 185.513289 -4.450176 1 \n",
"18 bcc 3.391008 10.611768 155.492922 -4.382969 1 \n",
"19 sc 3.389164 13.763845 89.750307 -3.726371 1 \n",
"20 B2 4.047372 23.440061 243.213355 -8.991392 2 "
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_murn"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "37bc1ee5-fae8-49da-92bc-a83d1a59e3d2",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>job_id</th>\n",
" <th>potential</th>\n",
" <th>C11</th>\n",
" <th>C12</th>\n",
" <th>C44</th>\n",
" <th>compound</th>\n",
" <th>crystal_structure</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>16677419</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>106.911467</td>\n",
" <td>69.255148</td>\n",
" <td>30.431795</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>16677435</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>37.182823</td>\n",
" <td>69.500184</td>\n",
" <td>8.164544</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>16677451</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>143.679178</td>\n",
" <td>76.980424</td>\n",
" <td>5.955743</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>16677467</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>241.409634</td>\n",
" <td>159.289244</td>\n",
" <td>123.327959</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>16677483</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>92.522127</td>\n",
" <td>155.137627</td>\n",
" <td>99.311026</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>16677499</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>383.279308</td>\n",
" <td>70.849396</td>\n",
" <td>-20.996755</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>16677515</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>211.238892</td>\n",
" <td>194.933767</td>\n",
" <td>173.145582</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>16677532</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>148.436993</td>\n",
" <td>62.156106</td>\n",
" <td>81.370388</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>16677548</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>27.653061</td>\n",
" <td>65.719354</td>\n",
" <td>76.312964</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>16677564</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>211.199570</td>\n",
" <td>0.788820</td>\n",
" <td>-12.844562</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>16677580</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>527.551695</td>\n",
" <td>290.787053</td>\n",
" <td>126.711367</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>16677596</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>212.644367</td>\n",
" <td>250.612195</td>\n",
" <td>102.118730</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>16677612</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>709.385976</td>\n",
" <td>127.425234</td>\n",
" <td>-7.397005</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>16677628</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>221.036773</td>\n",
" <td>143.274544</td>\n",
" <td>144.576187</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>16677645</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>115.582946</td>\n",
" <td>64.866432</td>\n",
" <td>36.746602</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>16677661</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>26.485353</td>\n",
" <td>67.603158</td>\n",
" <td>38.534427</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>16677677</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>146.569799</td>\n",
" <td>23.069712</td>\n",
" <td>-5.938088</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>16677693</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>235.738355</td>\n",
" <td>164.048239</td>\n",
" <td>131.587617</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>16677709</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>146.355889</td>\n",
" <td>168.584721</td>\n",
" <td>137.141307</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>16677725</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>232.892869</td>\n",
" <td>15.409803</td>\n",
" <td>-27.963859</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>16677741</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>291.266922</td>\n",
" <td>223.220888</td>\n",
" <td>183.860728</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" job_id potential C11 C12 \\\n",
"0 16677419 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 106.911467 69.255148 \n",
"1 16677435 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 37.182823 69.500184 \n",
"2 16677451 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 143.679178 76.980424 \n",
"3 16677467 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 241.409634 159.289244 \n",
"4 16677483 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 92.522127 155.137627 \n",
"5 16677499 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 383.279308 70.849396 \n",
"6 16677515 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 211.238892 194.933767 \n",
"7 16677532 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 148.436993 62.156106 \n",
"8 16677548 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 27.653061 65.719354 \n",
"9 16677564 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 211.199570 0.788820 \n",
"10 16677580 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 527.551695 290.787053 \n",
"11 16677596 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 212.644367 250.612195 \n",
"12 16677612 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 709.385976 127.425234 \n",
"13 16677628 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 221.036773 143.274544 \n",
"14 16677645 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 115.582946 64.866432 \n",
"15 16677661 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 26.485353 67.603158 \n",
"16 16677677 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 146.569799 23.069712 \n",
"17 16677693 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 235.738355 164.048239 \n",
"18 16677709 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 146.355889 168.584721 \n",
"19 16677725 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 232.892869 15.409803 \n",
"20 16677741 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 291.266922 223.220888 \n",
"\n",
" C44 compound crystal_structure \n",
"0 30.431795 Al fcc \n",
"1 8.164544 Al bcc \n",
"2 5.955743 Al sc \n",
"3 123.327959 Ni fcc \n",
"4 99.311026 Ni bcc \n",
"5 -20.996755 Ni sc \n",
"6 173.145582 NiAl B2 \n",
"7 81.370388 Al fcc \n",
"8 76.312964 Al bcc \n",
"9 -12.844562 Al sc \n",
"10 126.711367 Ni fcc \n",
"11 102.118730 Ni bcc \n",
"12 -7.397005 Ni sc \n",
"13 144.576187 NiAl B2 \n",
"14 36.746602 Al fcc \n",
"15 38.534427 Al bcc \n",
"16 -5.938088 Al sc \n",
"17 131.587617 Ni fcc \n",
"18 137.141307 Ni bcc \n",
"19 -27.963859 Ni sc \n",
"20 183.860728 NiAl B2 "
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_elastic"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "3773c45f-e7f6-440c-aabc-c0f629a7cf07",
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
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" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>job_id_murn</th>\n",
" <th>potential</th>\n",
" <th>compound</th>\n",
" <th>crystal_structure</th>\n",
" <th>a</th>\n",
" <th>eq_vol</th>\n",
" <th>eq_bm</th>\n",
" <th>eq_energy</th>\n",
" <th>n_atoms</th>\n",
" <th>job_id_elastic</th>\n",
" <th>C11</th>\n",
" <th>C12</th>\n",
" <th>C44</th>\n",
" <th>phase</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>16677136</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" <td>4.050000</td>\n",
" <td>16.606962</td>\n",
" <td>81.040445</td>\n",
" <td>-3.360099</td>\n",
" <td>1</td>\n",
" <td>16677419</td>\n",
" <td>106.911467</td>\n",
" <td>69.255148</td>\n",
" <td>30.431795</td>\n",
" <td>Al_fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>16677149</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" <td>4.124560</td>\n",
" <td>19.125925</td>\n",
" <td>65.638536</td>\n",
" <td>-3.272304</td>\n",
" <td>1</td>\n",
" <td>16677435</td>\n",
" <td>37.182823</td>\n",
" <td>69.500184</td>\n",
" <td>8.164544</td>\n",
" <td>Al_bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>16677162</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" <td>3.825505</td>\n",
" <td>19.795529</td>\n",
" <td>93.278691</td>\n",
" <td>-3.311557</td>\n",
" <td>1</td>\n",
" <td>16677451</td>\n",
" <td>143.679178</td>\n",
" <td>76.980424</td>\n",
" <td>5.955743</td>\n",
" <td>Al_sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>16677175</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" <td>3.520000</td>\n",
" <td>10.903140</td>\n",
" <td>184.675690</td>\n",
" <td>-4.450159</td>\n",
" <td>1</td>\n",
" <td>16677467</td>\n",
" <td>241.409634</td>\n",
" <td>159.289244</td>\n",
" <td>123.327959</td>\n",
" <td>Ni_fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>16677188</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" <td>3.510011</td>\n",
" <td>11.767642</td>\n",
" <td>137.936343</td>\n",
" <td>-4.372803</td>\n",
" <td>1</td>\n",
" <td>16677483</td>\n",
" <td>92.522127</td>\n",
" <td>155.137627</td>\n",
" <td>99.311026</td>\n",
" <td>Ni_bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>16677202</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" <td>3.350192</td>\n",
" <td>13.286747</td>\n",
" <td>181.269821</td>\n",
" <td>-3.974845</td>\n",
" <td>1</td>\n",
" <td>16677499</td>\n",
" <td>383.279308</td>\n",
" <td>70.849396</td>\n",
" <td>-20.996755</td>\n",
" <td>Ni_sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>16677216</td>\n",
" <td>1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" <td>4.048878</td>\n",
" <td>23.466248</td>\n",
" <td>191.838019</td>\n",
" <td>-8.851296</td>\n",
" <td>2</td>\n",
" <td>16677515</td>\n",
" <td>211.238892</td>\n",
" <td>194.933767</td>\n",
" <td>173.145582</td>\n",
" <td>NiAl_B2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>16677229</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" <td>4.051526</td>\n",
" <td>16.632938</td>\n",
" <td>95.999778</td>\n",
" <td>-3.361936</td>\n",
" <td>1</td>\n",
" <td>16677532</td>\n",
" <td>148.436993</td>\n",
" <td>62.156106</td>\n",
" <td>81.370388</td>\n",
" <td>Al_fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>16677242</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" <td>4.025298</td>\n",
" <td>17.746010</td>\n",
" <td>51.011467</td>\n",
" <td>-3.279029</td>\n",
" <td>1</td>\n",
" <td>16677548</td>\n",
" <td>27.653061</td>\n",
" <td>65.719354</td>\n",
" <td>76.312964</td>\n",
" <td>Al_bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>16677255</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" <td>3.899182</td>\n",
" <td>20.956057</td>\n",
" <td>68.928830</td>\n",
" <td>-2.947367</td>\n",
" <td>1</td>\n",
" <td>16677564</td>\n",
" <td>211.199570</td>\n",
" <td>0.788820</td>\n",
" <td>-12.844562</td>\n",
" <td>Al_sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>16677268</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" <td>3.452464</td>\n",
" <td>10.290036</td>\n",
" <td>398.812143</td>\n",
" <td>-4.500547</td>\n",
" <td>1</td>\n",
" <td>16677580</td>\n",
" <td>527.551695</td>\n",
" <td>290.787053</td>\n",
" <td>126.711367</td>\n",
" <td>Ni_fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>16677281</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" <td>3.408006</td>\n",
" <td>10.777042</td>\n",
" <td>237.555220</td>\n",
" <td>-4.384467</td>\n",
" <td>1</td>\n",
" <td>16677596</td>\n",
" <td>212.644367</td>\n",
" <td>250.612195</td>\n",
" <td>102.118730</td>\n",
" <td>Ni_bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>16677296</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" <td>3.166480</td>\n",
" <td>11.229065</td>\n",
" <td>337.696930</td>\n",
" <td>-4.075015</td>\n",
" <td>1</td>\n",
" <td>16677612</td>\n",
" <td>709.385976</td>\n",
" <td>127.425234</td>\n",
" <td>-7.397005</td>\n",
" <td>Ni_sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>16677309</td>\n",
" <td>2002__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" <td>4.042777</td>\n",
" <td>23.356240</td>\n",
" <td>164.752084</td>\n",
" <td>-8.930923</td>\n",
" <td>2</td>\n",
" <td>16677628</td>\n",
" <td>221.036773</td>\n",
" <td>143.274544</td>\n",
" <td>144.576187</td>\n",
" <td>NiAl_B2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>16677322</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>fcc</td>\n",
" <td>4.050000</td>\n",
" <td>16.606871</td>\n",
" <td>80.836776</td>\n",
" <td>-3.360109</td>\n",
" <td>1</td>\n",
" <td>16677645</td>\n",
" <td>115.582946</td>\n",
" <td>64.866432</td>\n",
" <td>36.746602</td>\n",
" <td>Al_fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>16677335</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>bcc</td>\n",
" <td>3.962698</td>\n",
" <td>16.934019</td>\n",
" <td>53.467431</td>\n",
" <td>-3.267420</td>\n",
" <td>1</td>\n",
" <td>16677661</td>\n",
" <td>26.485353</td>\n",
" <td>67.603158</td>\n",
" <td>38.534427</td>\n",
" <td>Al_bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>16677348</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Al</td>\n",
" <td>sc</td>\n",
" <td>3.854830</td>\n",
" <td>20.252349</td>\n",
" <td>64.666726</td>\n",
" <td>-3.063436</td>\n",
" <td>1</td>\n",
" <td>16677677</td>\n",
" <td>146.569799</td>\n",
" <td>23.069712</td>\n",
" <td>-5.938088</td>\n",
" <td>Al_sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>16677361</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>fcc</td>\n",
" <td>3.520000</td>\n",
" <td>10.903077</td>\n",
" <td>185.513289</td>\n",
" <td>-4.450176</td>\n",
" <td>1</td>\n",
" <td>16677693</td>\n",
" <td>235.738355</td>\n",
" <td>164.048239</td>\n",
" <td>131.587617</td>\n",
" <td>Ni_fcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>16677374</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>bcc</td>\n",
" <td>3.391008</td>\n",
" <td>10.611768</td>\n",
" <td>155.492922</td>\n",
" <td>-4.382969</td>\n",
" <td>1</td>\n",
" <td>16677709</td>\n",
" <td>146.355889</td>\n",
" <td>168.584721</td>\n",
" <td>137.141307</td>\n",
" <td>Ni_bcc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>16677387</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>Ni</td>\n",
" <td>sc</td>\n",
" <td>3.389164</td>\n",
" <td>13.763845</td>\n",
" <td>89.750307</td>\n",
" <td>-3.726371</td>\n",
" <td>1</td>\n",
" <td>16677725</td>\n",
" <td>232.892869</td>\n",
" <td>15.409803</td>\n",
" <td>-27.963859</td>\n",
" <td>Ni_sc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>16677401</td>\n",
" <td>2004__Mishin_Y__Ni_Al__LAMMPS__ipr1</td>\n",
" <td>NiAl</td>\n",
" <td>B2</td>\n",
" <td>4.047372</td>\n",
" <td>23.440061</td>\n",
" <td>243.213355</td>\n",
" <td>-8.991392</td>\n",
" <td>2</td>\n",
" <td>16677741</td>\n",
" <td>291.266922</td>\n",
" <td>223.220888</td>\n",
" <td>183.860728</td>\n",
" <td>NiAl_B2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" job_id_murn potential compound \\\n",
"0 16677136 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Al \n",
"1 16677149 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Al \n",
"2 16677162 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Al \n",
"3 16677175 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Ni \n",
"4 16677188 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Ni \n",
"5 16677202 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 Ni \n",
"6 16677216 1995__Angelo_J_E__Ni_Al_H__LAMMPS__ipr1 NiAl \n",
"7 16677229 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"8 16677242 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"9 16677255 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"10 16677268 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"11 16677281 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"12 16677296 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"13 16677309 2002__Mishin_Y__Ni_Al__LAMMPS__ipr1 NiAl \n",
"14 16677322 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"15 16677335 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"16 16677348 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Al \n",
"17 16677361 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"18 16677374 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"19 16677387 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 Ni \n",
"20 16677401 2004__Mishin_Y__Ni_Al__LAMMPS__ipr1 NiAl \n",
"\n",
" crystal_structure a eq_vol eq_bm eq_energy n_atoms \\\n",
"0 fcc 4.050000 16.606962 81.040445 -3.360099 1 \n",
"1 bcc 4.124560 19.125925 65.638536 -3.272304 1 \n",
"2 sc 3.825505 19.795529 93.278691 -3.311557 1 \n",
"3 fcc 3.520000 10.903140 184.675690 -4.450159 1 \n",
"4 bcc 3.510011 11.767642 137.936343 -4.372803 1 \n",
"5 sc 3.350192 13.286747 181.269821 -3.974845 1 \n",
"6 B2 4.048878 23.466248 191.838019 -8.851296 2 \n",
"7 fcc 4.051526 16.632938 95.999778 -3.361936 1 \n",
"8 bcc 4.025298 17.746010 51.011467 -3.279029 1 \n",
"9 sc 3.899182 20.956057 68.928830 -2.947367 1 \n",
"10 fcc 3.452464 10.290036 398.812143 -4.500547 1 \n",
"11 bcc 3.408006 10.777042 237.555220 -4.384467 1 \n",
"12 sc 3.166480 11.229065 337.696930 -4.075015 1 \n",
"13 B2 4.042777 23.356240 164.752084 -8.930923 2 \n",
"14 fcc 4.050000 16.606871 80.836776 -3.360109 1 \n",
"15 bcc 3.962698 16.934019 53.467431 -3.267420 1 \n",
"16 sc 3.854830 20.252349 64.666726 -3.063436 1 \n",
"17 fcc 3.520000 10.903077 185.513289 -4.450176 1 \n",
"18 bcc 3.391008 10.611768 155.492922 -4.382969 1 \n",
"19 sc 3.389164 13.763845 89.750307 -3.726371 1 \n",
"20 B2 4.047372 23.440061 243.213355 -8.991392 2 \n",
"\n",
" job_id_elastic C11 C12 C44 phase \n",
"0 16677419 106.911467 69.255148 30.431795 Al_fcc \n",
"1 16677435 37.182823 69.500184 8.164544 Al_bcc \n",
"2 16677451 143.679178 76.980424 5.955743 Al_sc \n",
"3 16677467 241.409634 159.289244 123.327959 Ni_fcc \n",
"4 16677483 92.522127 155.137627 99.311026 Ni_bcc \n",
"5 16677499 383.279308 70.849396 -20.996755 Ni_sc \n",
"6 16677515 211.238892 194.933767 173.145582 NiAl_B2 \n",
"7 16677532 148.436993 62.156106 81.370388 Al_fcc \n",
"8 16677548 27.653061 65.719354 76.312964 Al_bcc \n",
"9 16677564 211.199570 0.788820 -12.844562 Al_sc \n",
"10 16677580 527.551695 290.787053 126.711367 Ni_fcc \n",
"11 16677596 212.644367 250.612195 102.118730 Ni_bcc \n",
"12 16677612 709.385976 127.425234 -7.397005 Ni_sc \n",
"13 16677628 221.036773 143.274544 144.576187 NiAl_B2 \n",
"14 16677645 115.582946 64.866432 36.746602 Al_fcc \n",
"15 16677661 26.485353 67.603158 38.534427 Al_bcc \n",
"16 16677677 146.569799 23.069712 -5.938088 Al_sc \n",
"17 16677693 235.738355 164.048239 131.587617 Ni_fcc \n",
"18 16677709 146.355889 168.584721 137.141307 Ni_bcc \n",
"19 16677725 232.892869 15.409803 -27.963859 Ni_sc \n",
"20 16677741 291.266922 223.220888 183.860728 NiAl_B2 "
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_ground_state = pd.merge(on=[\"potential\", \"compound\", \"crystal_structure\"], left=data_murn, right=data_elastic, suffixes=('_murn', '_elastic'))\n",
"df_ground_state[\"phase\"] = df_ground_state.compound + \"_\" + df_ground_state.crystal_structure\n",
"df_ground_state"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "d7e4c0af-4423-4a06-ace2-0345503990ed",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x432 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax_list = plt.subplots(ncols=len(potential_list), nrows=1, sharex=\"row\", sharey=\"row\")\n",
"\n",
"fig.set_figwidth(20)\n",
"fig.set_figheight(6)\n",
"\n",
"color_palette = sns.color_palette(\"tab10\", n_colors=len(df_ground_state.phase.unique()))\n",
"\n",
"\n",
"for i, pot in enumerate(potential_list):\n",
" \n",
" ax = ax_list[i]\n",
" data = df_ground_state[df_ground_state.potential == clean_project_name(pot)]\n",
" \n",
" for j, (_, row) in enumerate(data.iterrows()):\n",
" \n",
" ax = pr.load(row.job_id_murn).plot(plt_show=False, ax=ax, plot_kwargs={\"label\": row.phase, \"color\": color_palette[j]})\n",
" \n",
" ax.set_title(f\"{pot}\")\n",
" #break\n",
"fig.subplots_adjust(wspace=0.1);"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "c7dce127-f486-4d6e-a7f0-c335330de85c",
"metadata": {},
"outputs": [],
"source": [
"# fig, ax_list = plt.subplots(ncols=len(potential_list), nrows=1, sharex=\"row\", sharey=\"row\")\n",
"\n",
"# fig.set_figwidth(20)\n",
"# fig.set_figheight(6)\n",
"\n",
"# color_palette = sns.color_palette(\"tab10\", n_colors=len(df_ground_state.phase.unique()))\n",
"\n",
"\n",
"# for i, pot in enumerate(potential_list):\n",
" \n",
"# ax = ax_list[i]\n",
"# data = df_ground_state[df_ground_state.potential == clean_project_name(pot)]\n",
" \n",
"# for j, (_, row) in enumerate(data.iterrows()):\n",
" \n",
"# ax = pr.load(row.job_id_murn).plot(plt_show=False, ax=ax, plot_kwargs={\"label\": f\"phase_{j}\", \"color\": color_palette[j]})\n",
" \n",
"# ax.set_title(f\"Potential {i}\")\n",
"# #break\n",
"# fig.subplots_adjust(wspace=0.1);\n",
"# plt.savefig(\"example.jpeg\", bbox_inches=\"tight\");"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "d2f11623-e92b-4a71-8440-d84a1d48392e",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1440x360 with 7 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax_list = plt.subplots(ncols=len(df_ground_state.phase.unique()), nrows=1, sharex=\"row\", sharey=\"row\")\n",
"\n",
"fig.set_figwidth(20)\n",
"fig.set_figheight(5)\n",
"\n",
"color_palette = sns.color_palette(\"tab10\", n_colors=len(df_ground_state.potential.unique()))\n",
"\n",
"\n",
"for i, phase in enumerate(df_ground_state.phase.unique()):\n",
" \n",
" ax = ax_list[i]\n",
" data = df_ground_state[df_ground_state.phase == phase]\n",
" \n",
" \n",
" \n",
" for j, pot in enumerate(potential_list):\n",
" \n",
" phonopy_job = pr[clean_project_name(pot) + f\"/phonopy_job_{phase}\"]\n",
" \n",
" thermo = phonopy_job.get_thermal_properties(t_min=0, t_max=800)\n",
"\n",
" ax.plot(thermo.temperatures, thermo.free_energies, label=pot, color=color_palette[j])\n",
" ax.set_xlabel(\"Temperatures [K]\")\n",
" ax.set_title(f\"{phase}\")\n",
"ax_list[0].set_ylabel(\"Free energies [eV]\")\n",
"\n",
"ax_list[-1].legend()\n",
"fig.subplots_adjust(wspace=0.1);"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "b317b1d3-549b-4e0e-84bf-3cd02a92596d",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x360 with 7 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax_list = plt.subplots(ncols=len(df_ground_state.phase.unique()), nrows=1, sharex=\"row\", sharey=\"row\")\n",
"\n",
"fig.set_figwidth(20)\n",
"fig.set_figheight(5)\n",
"\n",
"color_palette = sns.color_palette(\"tab10\", n_colors=len(df_ground_state.potential.unique()))\n",
"\n",
"\n",
"for i, phase in enumerate(df_ground_state.phase.unique()):\n",
" \n",
" ax = ax_list[i]\n",
" data = df_ground_state[df_ground_state.phase == phase]\n",
" \n",
" \n",
" \n",
" for j, pot in enumerate(potential_list):\n",
" \n",
" phonopy_job = pr[clean_project_name(pot) + f\"/phonopy_job_{phase}\"]\n",
" \n",
" thermo = phonopy_job.get_thermal_properties(t_min=0, t_max=800)\n",
" \n",
" ax.plot(phonopy_job[\"output/dos_energies\"], phonopy_job[\"output/dos_total\"], color=color_palette[j], label=pot)\n",
" ax.set_xlabel(\"Frequency [THz]\")\n",
" ax.set_title(f\"{phase}\")\n",
"ax_list[0].set_ylabel(\"DOS\")\n",
"\n",
"ax_list[-1].legend()\n",
"fig.subplots_adjust(wspace=0.1);"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "7c036a6e-0a66-4adf-8a1e-6ce94ad91ee0",
"metadata": {},
"outputs": [],
"source": [
"# phonopy_job.plot_band_structure()"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "1c03fae6-b856-47f6-8c5b-043aeb6c488c",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1800x864 with 21 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax_list = plt.subplots(ncols=len(df_ground_state.phase.unique()), nrows=len(potential_list), sharey=\"row\")\n",
"\n",
"fig.set_figwidth(25)\n",
"fig.set_figheight(12)\n",
"\n",
"color_palette = sns.color_palette(\"tab10\", n_colors=len(df_ground_state.potential.unique()))\n",
"\n",
"\n",
"for i, phase in enumerate(df_ground_state.phase.unique()):\n",
" \n",
" \n",
" data = df_ground_state[df_ground_state.phase == phase]\n",
" \n",
" \n",
" \n",
" for j, pot in enumerate(potential_list):\n",
" ax = ax_list[j][i]\n",
" phonopy_job = pr[clean_project_name(pot) + f\"/phonopy_job_{phase}\"]\n",
" \n",
" phonopy_job.plot_band_structure(axis=ax)\n",
" ax.set_ylabel(\"\")\n",
" ax.set_title(\"\")\n",
" ax_list[j][0].set_ylabel(\"DOS\")\n",
" ax_list[0][i].set_title(f\"{phase}\")\n",
"fig.subplots_adjust(wspace=0.1, hspace=0.4);"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "61e2a3bc-2bc0-4549-9d09-8075f50cbd8e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total run time for the notebook 411.289093237 seconds\n"
]
}
],
"source": [
"time_stop = time.process_time()\n",
"print(f\"Total run time for the notebook {time_stop - time_start} seconds\")"
]
},
{
"cell_type": "markdown",
"id": "8173aa8d-5f79-41f9-9d5f-f1573a415e2a",
"metadata": {},
"source": [
"Todo:\n",
"\n",
" - SQS and intermediate ordered phases, layered phases (supply the structures)\n",
" - Properties of compounds\n",
" - Split the workflows into several notebooks\n",
" - Defect formation energies etc.\n",
" - Link to Sarath's part?? (Thermal expansion using MD/QHA)\n",
" - Showing that MD works with these potentials"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "59d98667-c265-4a29-9267-25faeb033471",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}