diff --git a/examples-mechanical-simulations/LixSi/01-Training/train.in b/examples-mechanical-simulations/LixSi/01-Training/train.in new file mode 100644 index 0000000..d85b0e3 --- /dev/null +++ b/examples-mechanical-simulations/LixSi/01-Training/train.in @@ -0,0 +1,25 @@ +TRAININGSET LiSi.train.ascii +TESTPERCENT 10 +ITERATIONS 10000 +ITERWRITE 1 +BATCHSIZE 128 + +NPSEED 1 +PHSEED 2 + +MEMORY_MODE cpu + +SAVE_ENERGIES + +VERBOSE + +METHOD +method=adamw lr=0.0001 + +REGULARIZATION 0.001 + +NETWORKS +! atom network hidden +! types file-name layers nodes:activation + Li Li.pytorch.nn 2 25:tanh 25:tanh + Si Si.pytorch.nn 2 25:tanh 25:tanh diff --git a/examples-mechanical-simulations/LixSi/02-MD Simulation/Li_13-Si_4-bulk-stretch.in b/examples-mechanical-simulations/LixSi/02-MD Simulation/Li_13-Si_4-bulk-stretch.in new file mode 100644 index 0000000..f04f635 --- /dev/null +++ b/examples-mechanical-simulations/LixSi/02-MD Simulation/Li_13-Si_4-bulk-stretch.in @@ -0,0 +1,99 @@ +#========== Basic Settings ========== + +units metal +dimension 3 +boundary p p p +atom_style atomic +atom_modify map yes +variable dt equal 0.001 +timestep ${dt} + +#========== Model ========== + +read_data LiSi.data +variable voll equal 1.6e6 +variable Vol equal vol + +#========== Force Fields ========== + +pair_style aenet Li.pytorch.nn Si.pytorch.nn +pair_coeff * * + +#========== Neighbor Lists ========== + +neighbor 2.0 bin +neigh_modify every 10 delay 10 check yes + +#========== Computes ========== + +compute 1 all stress/atom NULL +compute 2 all reduce sum c_1[1] c_1[2] c_1[3] + +#========== Energy Minimization ========== + +min_style cg +minimize 1.0e-7 1.0e-7 1000 1000 + +#========== Equalibration ========== + +variable Tdamp equal "v_dt*100" +fix 1 all nvt temp 300.0 300.0 ${Tdamp} +thermo 100 +thermo_style custom step pxx pyy pzz temp press pe ke lx ly lz c_2[1] c_2[2] c_2[3] +dump 1 all xyz 100 relax.xyz +run 20000 +write_restart restart_hpc.20000 +unfix 1 +undump 1 +variable tem equal "ly" +variable L0 equal ${tem} + +#========== Deformation ========== + +reset_timestep 0 +#read_restart restart.10000 +variable Pdamp equal "v_dt*1000" +fix 1 all npt temp 300.0 300.0 ${Tdamp} x 1 1 ${Pdamp} z 1 1 ${Pdamp} drag 1 +variable srate equal 1.0e10 +variable srate1 equal "v_srate/1.0e12" + +fix add1 all ave/time 1 10 10 c_2[1] c_2[2] c_2[3] +#fix add2 all ave/time 1 10 10 v_Vol +#fix add3 all ave/time 1 10 10 c_1[1] c_1[2] c_1[3] + + +fix 2 all deform 1 y erate ${srate1} units box remap x + +#========== Outputs ========== + +variable ConvCoeff equal 1.0e-4 +variable sigmaxx1 equal "c_2[1]/v_voll*v_ConvCoeff" +variable sigmayy1 equal "c_2[2]/v_voll*v_ConvCoeff" +variable sigmazz1 equal "c_2[3]/v_voll*v_ConvCoeff" + +variable sigmaxx2 equal "f_add1[1]/v_Vol*v_ConvCoeff" +variable sigmayy2 equal "f_add1[2]/v_Vol*v_ConvCoeff" +variable sigmazz2 equal "f_add1[3]/v_Vol*v_ConvCoeff" + + +variable strain2perDT equal "1.0e10*v_dt*1.0e-12" +variable strain2 equal "v_strain2perDT*(step)" + +variable strain1 equal "(ly-v_L0)/v_L0" +variable p1 equal "-pxx/10000" +variable p2 equal "-pyy/10000" +variable p3 equal "-pzz/10000" + +thermo 200 +thermo_style custom step temp v_strain1 v_p1 v_p2 v_p3 ke pe press ly v_strain2 v_sigmaxx1 v_sigmayy1 v_sigmazz1 v_sigmaxx2 v_sigmayy2 v_sigmazz2 +dump 1 all atom 200 tensile_movie.lammpstrj + +#dump 2 all custom 5000 dump.stress.* id type x y z f_add3[1] f_add3[2] f_add3[3] + +fix 3 all print 10 "${strain1} ${p1} ${p2} ${p3}" file strain1-stress1.txt screen no +fix 4 all print 10 "${strain2} ${sigmaxx1} ${sigmayy1} ${sigmazz1}" file strain2-stress2.txt screen no +fix 42 all print 10 "${strain2} ${sigmaxx2} ${sigmayy2} ${sigmazz2}" file strain3-stress3.txt screen no +run 60000 +write_restart restart_hpc.deform.60000 + + diff --git a/examples-mechanical-simulations/LixSi/03-Analysis/Analysis.ipynb b/examples-mechanical-simulations/LixSi/03-Analysis/Analysis.ipynb new file mode 100644 index 0000000..dc89553 --- /dev/null +++ b/examples-mechanical-simulations/LixSi/03-Analysis/Analysis.ipynb @@ -0,0 +1,176 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Import Necessary Libraries**" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import re\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Potential Training**" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "path = os.getcwd().replace('\\\\','/')\n", + "path_list = os.listdir(path)\n", + "num = []\n", + "regex = re.compile(r'\\w+\\.+out+\\d$')\n", + "for i in path_list:\n", + " num += regex.findall(i)\n", + "po = []\n", + "path_out = path + '/{}'\n", + "for i in list(range(len(num))):\n", + " po.append(path_out.format(num[i]))\n", + "errors = []\n", + "for i in list(range(len(num))):\n", + " with open(po[i]) as file:\n", + " for line in file:\n", + " if re.match(\"^ *[0-9].* \\|+\", line):\n", + " ai = re.split(r'\\W+\\.?\\W', line)\n", + " bi = ai[2:6]\n", + " errors.append(bi)\n", + "errors = np.array(errors)\n", + "errors = pd.DataFrame(\n", + " data=errors,\n", + " columns=['ERROR(train)', 'ERROR(test)', 'E(train)', 'E(test)'])\n", + "errors = errors.astype(float)\n", + "errors.plot(None, y = ['ERROR(train)', 'ERROR(test)'], kind = 'line', logy = True, linewidth=3) # type: ignore\n", + "plt.xlabel('Epoch', fontsize=20)\n", + "plt.ylabel('ERROR (eV/atom)', fontsize=20)\n", + "plt.tick_params(labelsize=12)\n", + "plt.legend(fontsize=20)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "test = r\"energies.test\"\n", + "test_errors = np.loadtxt(test, skiprows=1, usecols=(3,4))\n", + "limits = np.linspace(-0.5, 1.0)\n", + "plt.plot(limits, limits, color=\"black\", linewidth=3)\n", + "plt.ticklabel_format(useOffset=False)\n", + "plt.scatter(test_errors[:,0], test_errors[:,1], color=\"red\", s=30, label=\"test set\")\n", + "plt.tick_params(labelsize=15)\n", + "plt.xlabel('DFT (eV/atom)', fontsize=20)\n", + "plt.ylabel('ANN (eV/atom)', fontsize=20)\n", + "plt.legend(fontsize=20)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Stress-Strain Curve**" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "content = []\n", + "modify = []\n", + "stress = []\n", + "cwd = os.getcwd().replace('\\\\','/')\n", + "file_name = r\"/strain1-stress1.txt\" \n", + "with open(cwd + file_name) as f:\n", + " lines = f.readlines()\n", + " for i, line in enumerate(lines):\n", + " if i > 0:\n", + " content.append(lines[i].strip().split())\n", + " for i in list(range(len(content))):\n", + " modify.append(float(content[i][0]))\n", + " stress.append(float(content[i][2])) \n", + "f.close()\n", + "plt.plot(modify[:5000], stress[:5000], color='red', linestyle='solid', linewidth=1,\n", + " marker='o', markerfacecolor='blue', markersize=2)\n", + "plt.xlabel(\"Strain\", fontsize=20)\n", + "plt.ylabel(\"Stress (GPa)\", fontsize=20)\n", + "plt.tick_params(labelsize=15)\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "work", + "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": "3.8.17" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples-mechanical-simulations/LixSi/Li.pytorch.nn b/examples-mechanical-simulations/LixSi/Li.pytorch.nn new file mode 100644 index 0000000..8f7904a Binary files /dev/null and b/examples-mechanical-simulations/LixSi/Li.pytorch.nn differ diff --git a/examples-mechanical-simulations/LixSi/README.md b/examples-mechanical-simulations/LixSi/README.md new file mode 100644 index 0000000..eb242c2 --- /dev/null +++ b/examples-mechanical-simulations/LixSi/README.md @@ -0,0 +1,7 @@ +This repository contains scripts and files for the paper: "Machine Learning Potential Powered Insights into the Mechanical Stability of Amorphous Li-Si Alloys" + +This repository contains the LAMMPS files required to run MD simulations of stretching Li_13Si_4 bulk structure. The input files are available above: "Li_13-Si_4-bulk-stretch.in" (input file), "Li.pytorch.nn", and "Si.pytorch.nn" (force field files). + +The provided Jupyter Notebook file ( "Analysis.ipynb" ) can be used to generate visualization plot of training machine learning potential, and stress-strain plot of stretching bulk structure. + +Contact: Nong Artrith n.artrith@uu.nl diff --git a/examples-mechanical-simulations/LixSi/Si.pytorch.nn b/examples-mechanical-simulations/LixSi/Si.pytorch.nn new file mode 100644 index 0000000..f9ea377 Binary files /dev/null and b/examples-mechanical-simulations/LixSi/Si.pytorch.nn differ