{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "154d45d5", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "\n", "eigvec = np.load(\"pbe/mode-1.npy\")" ] }, { "cell_type": "code", "execution_count": null, "id": "aeb7637b", "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "\n", "from mlip_arena.models import MLIPEnum\n", "\n", "npoints = 101\n", "max_disp = 0.5\n", "disps = np.linspace(-max_disp, max_disp, npoints)\n", "\n", "replicas = (2, 2, 2)\n", "\n", "models = [\"MACE-MP(M)\", \"MatterSim\", \"ORBv2\", \"SevenNet\", \"CHGNet\", \"M3GNet\"]\n", "\n", "fig, axes = plt.subplots(\n", " figsize=(6, 4),\n", " nrows=2,\n", " ncols=len(models) // 2,\n", " constrained_layout=True,\n", ")\n", "\n", "axes = axes.flatten()\n", "\n", "i = 0\n", "\n", "for model in MLIPEnum:\n", " if model.name not in models:\n", " continue\n", "\n", " calc = get_calculator(model, device=\"cuda\")\n", "\n", " emin = float(\"inf\")\n", " for a in [3.7, 3.85, 4.0, 4.15]: # [3.8, 3.9, 4.0, 4.1]\n", " atoms = read(\"BZO_cubic_prim.xyz\")\n", " atoms.set_cell(cell=[a, a, a], scale_atoms=True)\n", " # atoms = atoms * replicas\n", "\n", " energies = []\n", "\n", " for disp in disps:\n", " atoms_disp = atoms.copy()\n", " atoms_disp.calc = calc\n", "\n", " atoms_disp.positions += eigvec * disp\n", "\n", " energy = atoms_disp.get_potential_energy() / len(atoms_disp)\n", " energies.append(energy)\n", "\n", " energies = np.array(energies)\n", "\n", " # shift the middle to 0\n", " energies -= energies[npoints // 2]\n", " emin = min(emin, energies.min())\n", "\n", " axes[i].plot(disps, energies * 1000, label=f\"{a:.2f} Å\")\n", "\n", " axes[i].axhline(0, color=\"black\", alpha=0.1)\n", " emin -= 1e-4\n", " axes[i].set(\n", " title=model.name,\n", " xlabel=\"Displacement (Å)\",\n", " ylabel=\"Energy (meV/atom)\",\n", " # xlim=(-0.1, 0.1),\n", " # ylim=(-0.1, 0.5),\n", " )\n", "\n", " i += 1\n", " # break\n", "\n", "fig.legend(\n", " axes[0].get_legend_handles_labels()[0],\n", " axes[0].get_legend_handles_labels()[1],\n", " loc=\"lower center\",\n", " bbox_to_anchor=(0.5, 1),\n", " ncol=len(axes[0].get_legend_handles_labels()[0]),\n", " # fontsize=6\n", ")\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": null, "id": "b5eeb801", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.11.13" } }, "nbformat": 4, "nbformat_minor": 5 }