{ "cells": [ { "cell_type": "markdown", "id": "f8a89516-a98c-4586-a33c-28fa63e399f7", "metadata": {}, "source": [ "\n", "# Wannier localization" ] }, { "cell_type": "code", "execution_count": 1, "id": "3cd6e4e0", "metadata": {}, "outputs": [], "source": [ "import glob\n", "\n", "import numpy as np\n", "\n", "from eminus import Atoms, read, SCF\n", "from eminus.extras import view\n", "from eminus.localizer import get_wannier, wannier_cost\n", "from eminus.orbitals import FLO, SCDM, WO\n", "from eminus.tools import orbital_center" ] }, { "cell_type": "code", "execution_count": 2, "id": "56855ec6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "XYZ file comment: \"Experimental geometry from CCCBDB: https://cccbdb.nist.gov/exp2x.asp?casno=74828&charge=0\"\n", "Start auto minimization...\n", "Method Iteration Etot [Eh] dEtot [Eh] |Gradient| \n", "pccg 1 +18.061427 \n", "pccg 2 +7.881450 +1.0180e+01 [+1.05e+04] \n", "pccg 3 +0.099586 +7.7819e+00 [+1.87e+03] \n", "pccg 4 -4.096798 +4.1964e+00 [+3.10e+02] \n", "pccg 5 -6.145812 +2.0490e+00 [+5.75e+01] \n", "pccg 6 -6.874551 +7.2874e-01 [+1.02e+01] \n", "pccg 7 -7.285784 +4.1123e-01 [+2.95e+00] \n", "pccg 8 -7.577908 +2.9212e-01 [+3.02e+00] \n", "pccg 9 -7.787117 +2.0921e-01 [+1.35e+00] \n", "pccg 10 -7.857628 +7.0510e-02 [+2.89e-01] \n", "pccg 11 -7.875693 +1.8065e-02 [+6.94e-02] \n", "pccg 12 -7.879606 +3.9137e-03 [+1.64e-02] \n", "pccg 13 -7.880591 +9.8423e-04 [+4.26e-03] \n", "pccg 14 -7.880813 +2.2256e-04 [+9.53e-04] \n", "pccg 15 -7.880863 +4.9429e-05 [+2.08e-04] \n", "pccg 16 -7.880875 +1.2336e-05 [+5.59e-05] \n", "pccg 17 -7.880877 +2.2595e-06 [+1.01e-05] \n", "pccg 18 -7.880878 +5.3147e-07 [+2.19e-06] \n", "pccg 19 -7.880878 +1.4534e-07 [+6.02e-07] \n", "pccg 20 -7.880878 +3.6440e-08 [+1.55e-07] \n", "SCF converged after 20 iterations.\n", "Total SCF time: 6.08420 s\n", "Etot = -7.880877999 Eh\n" ] } ], "source": [ "# Run an initial calculation for methane\n", "atoms = Atoms(*read(\"CH4.xyz\"), ecut=15, center=True)\n", "scf = SCF(atoms)\n", "scf.run();" ] }, { "cell_type": "code", "execution_count": 3, "id": "020cf835", "metadata": {}, "outputs": [], "source": [ "# Calculate the SCDMs to have pre-localized orbitals\n", "scdm = SCDM(scf)" ] }, { "cell_type": "code", "execution_count": 4, "id": "47504e58", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Wannier localizer converged after 15 iterations.\n" ] } ], "source": [ "# Do the Wannier localization\n", "# The resulting orbitals are equivalent to Foster-Boys orbitals, but with periodic boundary conditions\n", "wannier = get_wannier(atoms, scdm)" ] }, { "cell_type": "code", "execution_count": 5, "id": "8f27bb24", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Costs:\n", "[2.60730048 2.66311286 2.71520219 2.76391029]\n", "\n", "SCDM spreads = [[2.60730048 2.66311286 2.71520219 2.76391029]]\n", "SCDM spread = 10.749525817042638\n" ] } ], "source": [ "# Compare the initial SCDM spreads to the Wannier spreads\n", "scdm_spreads = wannier_cost(atoms, scdm)\n", "print(f\"\\nSCDM spreads = {scdm_spreads}\")\n", "print(f\"SCDM spread = {np.sum(scdm_spreads)}\")" ] }, { "cell_type": "code", "execution_count": 6, "id": "a0632df3", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Costs:\n", "[2.6820577 2.68206874 2.68206274 2.68211308]\n", "Wannier spreads = [[2.6820577 2.68206874 2.68206274 2.68211308]]\n", "Wannier spread = 10.728302260347107\n" ] } ], "source": [ "# The Wannier orbitals are a bit more localized, and all orbitals are evenly localized\n", "wannier_spreads = wannier_cost(atoms, wannier)\n", "print(f\"Wannier spreads = {wannier_spreads}\")\n", "print(f\"Wannier spread = {np.sum(wannier_spreads)}\")" ] }, { "cell_type": "code", "execution_count": 7, "id": "58a92a77", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Wannier localizer converged after 15 iterations.\n", "Write CH4_WO_k0_0.cube...\n", "Write CH4_WO_k0_1.cube...\n", "Write CH4_WO_k0_2.cube...\n", "Write CH4_WO_k0_3.cube...\n" ] } ], "source": [ "# All of the above can be done with one function call, also save the orbitals\n", "WO(scf, write_cubes=True);" ] }, { "cell_type": "code", "execution_count": 8, "id": "f36fbd6b", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a04ac89e7f974d4c91f35a86486f3110", "version_major": 2, "version_minor": 0 }, "text/plain": [] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "59d373bd12bd458f9acbc394c20fccd5", "version_major": 2, "version_minor": 0 }, "text/plain": [ "interactive(children=(Dropdown(description='filename', options=('CH4_WO_k0_2.cube', 'CH4_WO_k0_1.cube', 'CH4_W…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Display the orbitals from the cube files\n", "view(glob.glob(\"*.cube\"));" ] }, { "cell_type": "code", "execution_count": 9, "id": "e9bb8078", "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 0, 0 ], "y": [ 0, 0 ], "z": [ 0, 20 ] }, { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 0, 0 ], "y": [ 0, 20 ], "z": [ 0, 0 ] }, { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 0, 20 ], "y": [ 0, 0 ], "z": [ 0, 0 ] }, { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 0, 0 ], "y": [ 0, 20 ], "z": [ 20, 20 ] }, { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 0, 20 ], "y": [ 0, 0 ], "z": [ 20, 20 ] }, { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 0, 0 ], "y": [ 20, 20 ], "z": [ 0, 20 ] }, { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 0, 20 ], "y": [ 20, 20 ], "z": [ 0, 0 ] }, { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 0, 20 ], "y": [ 20, 20 ], "z": [ 20, 20 ] }, { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 20, 20 ], "y": [ 0, 0 ], "z": [ 0, 20 ] }, { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 20, 20 ], "y": [ 0, 20 ], "z": [ 0, 0 ] }, { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 20, 20 ], "y": [ 0, 20 ], "z": [ 20, 20 ] }, { "marker": { "color": "black", "size": 0.1 }, "name": "Unit cell", "showlegend": false, "type": "scatter3d", "x": [ 20, 20 ], "y": [ 20, 20 ], "z": [ 0, 20 ] }, { "marker": { "color": "#c7c7c7", "line": { "color": "black", "width": 2 }, "size": 7.529846067512836 }, "mode": "markers", "name": "C", "type": "scatter3d", "x": [ 10 ], "y": [ 10 ], "z": [ 10 ] }, { "marker": { "color": "#ffffff", "line": { "color": "black", "width": 2 }, "size": 4.809059482145178 }, "mode": "markers", "name": "H", "type": "scatter3d", "x": [ 11.185992115815134, 11.185992115815134, 8.814007884184866, 8.814007884184866 ], "y": [ 11.185992115815134, 8.814007884184866, 11.185992115815134, 8.814007884184866 ], "z": [ 11.185992115815134, 8.814007884184866, 8.814007884184866, 11.185992115815134 ] }, { "marker": { "color": "red", "size": 3.141592653589793 }, "mode": "markers", "name": "up-FOD", "type": "scatter3d", "x": [ 10.786855077683821, 9.213129371143271, 10.786870773366243, 9.213119923140798 ], "y": [ 10.786945499856087, 10.786774338964497, 9.21301735982113, 9.213206591908165 ], "z": [ 10.786757386895365, 9.213029700285922, 9.213220714845457, 10.786958914146023 ] } ], "layout": { "height": 600, "hoverlabel": { "bgcolor": "black" }, "legend": { "itemsizing": "constant", "title": { "text": "Selection" } }, "scene": { "aspectmode": "cube", "aspectratio": { "x": 1, "y": 1, "z": 1 }, "xaxis": { "range": [ 0, 20 ], "title": { "text": "x [a0]" }, "type": "linear" }, "yaxis": { "range": [ 0, 20 ], "title": { "text": "y [a0]" }, "type": "linear" }, "zaxis": { "range": [ 0, 20 ], "title": { "text": "z [a0]" }, "type": "linear" } }, "template": { "data": { "scatter": [ { "type": "scatter" } ] } }, "width": 600 } }, "image/png": "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", "text/html": [ "