{ "cells": [ { "cell_type": "markdown", "id": "aa90814d", "metadata": {}, "source": [ "\n", "# Visualization" ] }, { "cell_type": "code", "execution_count": 1, "id": "13b6fb7e", "metadata": {}, "outputs": [], "source": [ "from eminus import Atoms, read, SCF\n", "from eminus.extras import view, view_atoms, view_contour, view_file" ] }, { "cell_type": "code", "execution_count": 2, "id": "4aa79c38", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "6dfe9cb77bdd4dd8b56e9abf8b6f9056", "version_major": 2, "version_minor": 0 }, "text/plain": [] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "XYZ file comment: \"Experimental geometry from CCCBDB: https://cccbdb.nist.gov/exp2x.asp?casno=74828&charge=0\"\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d237f79edd99475e9ce53a403e8786db", "version_major": 2, "version_minor": 0 }, "text/plain": [ "NGLWidget()" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# View the initial xyz file\n", "mol = view_file(\"CH4.xyz\")\n", "mol" ] }, { "cell_type": "code", "execution_count": 3, "id": "64b432af", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0abe36e215904b53854ffa6cd520c8cb", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Image(value=b'', width='400px')" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Render the view as an image, e.g., to download it\n", "# See the options here: https://nglviewer.org/nglview/latest/api.html#nglview.NGLWidget.render_image\n", "mol_img = mol.render_image()\n", "mol_img.width = \"400px\"\n", "mol_img" ] }, { "cell_type": "code", "execution_count": 4, "id": "df9c9c4c", "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" ] } ], "source": [ "# Create the Atoms object\n", "atoms = Atoms(*read(\"CH4.xyz\"), center=True)\n", "atoms.s = 50" ] }, { "cell_type": "code", "execution_count": 5, "id": "ddcc7001", "metadata": {}, "outputs": [], "source": [ "# The calculations and writing steps have already been done, uncomment them if you want to do them for yourself\n", "# from eminus import USCF, write_cube, write_xyz\n", "# from eminus.extras import get_fods\n", "\n", "# Do the DFT calculation\n", "# scf = USCF(atoms)\n", "# scf.run()\n", "\n", "# Calculate FODs and write them to a xyz file\n", "# fods = get_fods(scf.atoms)\n", "# write_xyz(scf.atoms, \"CH4_fods.xyz\", fods)\n", "\n", "# Write the density to a cube file\n", "# write_cube(scf, \"CH4_density.cube\", scf.n)\n", "\n", "# One can even display FODs or the density without writing them to files\n", "# view_atoms(scf, fods, plot_n=True)" ] }, { "cell_type": "code", "execution_count": 6, "id": "8b5f21fd", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "cc2e69c3c00748c39dd86cc000931cf8", "version_major": 2, "version_minor": 0 }, "text/plain": [ "ThemeManager()" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "XYZ file comment: \"File generated with eminus 2.5.0 on Mon Jul 31 12:23:45 2023\"\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "45b8aa3c256e49269bbd2d87cc85ad3d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "NGLWidget(gui_style='ngl')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# View molecule with FODs with the GUI enabled\n", "view_file(\"CH4_fods.xyz\", gui=True)" ] }, { "cell_type": "code", "execution_count": 7, "id": "980e5726", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CUBE file comment: \"File generated with eminus 2.5.0 on Mon Jul 31 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Use a smaller grid and display it along with the atom positions\n", "atoms.s = [10] * 3\n", "atoms.build()\n", "view_atoms(atoms, atoms.r)" ] }, { "cell_type": "code", "execution_count": 9, "id": "d22e8ccc-df69-4bed-b662-05afb3a7cd17", "metadata": {}, "outputs": [ { "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 ] } ], "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 } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Similar to the `write` method we can also use the `view` method of some classes\n", "atoms.view()" ] }, { "cell_type": "code", "execution_count": 10, "id": "7fe62d64", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4c3413ba607440be8dcd2ee89f13f5a7", "version_major": 2, "version_minor": 0 }, "text/plain": [ "interactive(children=(Dropdown(description='filename', options=('CH4_fods.xyz', 'CH4_density.cube'), value='CH…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# The view_file function can also handle lists of files\n", "# One can use the view function to call the respective function automatically\n", "view([\"CH4_fods.xyz\", \"CH4_density.cube\"]);" ] }, { "cell_type": "code", "execution_count": 11, "id": "54c79fa8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Start auto minimization...\n", "Method Iteration Etot [Eh] dEtot [Eh] |Gradient| \n", "pccg 1 +1.157076 \n", "pccg 2 +0.334852 +8.2222e-01 [+1.40e+02] \n", "pccg 3 +0.009015 +3.2584e-01 [+1.52e+01] \n", "pccg 4 -0.206053 +2.1507e-01 [+3.65e+00] \n", "pccg 5 -0.333330 +1.2728e-01 [+1.04e+00] \n", "pccg 6 -0.393867 +6.0537e-02 [+2.37e-01] \n", "pccg 7 -0.419961 +2.6094e-02 [+5.50e-02] \n", "pccg 8 -0.430345 +1.0384e-02 [+1.74e-02] \n", "pccg 9 -0.433626 +3.2814e-03 [+5.70e-03] \n", "pccg 10 -0.434401 +7.7452e-04 [+1.65e-03] \n", "pccg 11 -0.434619 +2.1832e-04 [+4.72e-04] \n", "pccg 12 -0.434671 +5.1651e-05 [+1.16e-04] \n", "pccg 13 -0.434680 +9.6756e-06 [+2.34e-05] \n", "pccg 14 -0.434682 +1.6292e-06 [+3.99e-06] \n", "pccg 15 -0.434682 +3.1583e-07 [+7.75e-07] \n", "pccg 16 -0.434682 +7.3089e-08 [+1.72e-07] \n", "SCF converged after 16 iterations.\n", "Total SCF time: 0.61556 s\n", "Etot = -0.434682219 Eh\n", "Start auto minimization...\n", "Method Iteration Etot [Eh] dEtot [Eh] |Gradient| \n", "pccg 1 +2.722586 \n", "pccg 2 -2.062698 +4.7853e+00 [+1.03e+03] \n", "pccg 3 -6.855157 +4.7925e+00 [+1.18e+02] \n", "pccg 4 -8.175438 +1.3203e+00 [+5.20e+00] \n", "pccg 5 -9.718329 +1.5429e+00 [+1.02e+00] \n", "pccg 6 -10.008378 +2.9005e-01 [+1.25e-01] \n", "pccg 7 -10.057063 +4.8686e-02 [+1.80e-02] \n", "pccg 8 -10.074910 +1.7847e-02 [+6.94e-03] \n", "pccg 9 -10.085400 +1.0490e-02 [+2.53e-03] \n", "pccg 10 -10.094884 +9.4838e-03 [+2.27e-03] \n", "pccg 11 -10.102216 +7.3320e-03 [+2.10e-03] \n", "pccg 12 -10.107493 +5.2769e-03 [+1.33e-03] \n", "pccg 13 -10.111811 +4.3179e-03 [+1.05e-03] \n", "pccg 14 -10.114741 +2.9298e-03 [+7.59e-04] \n", "pccg 15 -10.116481 +1.7402e-03 [+4.62e-04] \n", "pccg 16 -10.117599 +1.1182e-03 [+2.76e-04] \n", "pccg 17 -10.118324 +7.2495e-04 [+1.79e-04] \n", "pccg 18 -10.118818 +4.9376e-04 [+1.22e-04] \n", "pccg 19 -10.119134 +3.1606e-04 [+7.93e-05] \n", "pccg 20 -10.119328 +1.9428e-04 [+5.31e-05] \n", "pccg 21 -10.119467 +1.3907e-04 [+3.57e-05] \n", "pccg 22 -10.119551 +8.3723e-05 [+2.33e-05] \n", "pccg 23 -10.119591 +3.9978e-05 [+1.23e-05] \n", "pccg 24 -10.119614 +2.3263e-05 [+6.14e-06] \n", "pccg 25 -10.119630 +1.6095e-05 [+4.25e-06] \n", "pccg 26 -10.119641 +1.0711e-05 [+2.76e-06] \n", "pccg 27 -10.119649 +8.0008e-06 [+1.94e-06] \n", "pccg 28 -10.119656 +6.5719e-06 [+1.50e-06] \n", "pccg 29 -10.119660 +4.4887e-06 [+1.17e-06] \n", "pccg 30 -10.119663 +3.0022e-06 [+7.35e-07] \n", "pccg 31 -10.119665 +1.7290e-06 [+4.81e-07] \n", "pccg 32 -10.119666 +1.0195e-06 [+2.87e-07] \n", "pccg 33 -10.119666 +5.4728e-07 [+1.58e-07] \n", "pccg 34 -10.119667 +2.9706e-07 [+8.43e-08] \n", "pccg 35 -10.119667 +1.7844e-07 [+5.03e-08] \n", "pccg 36 -10.119667 +1.0991e-07 [+3.03e-08] \n", "pccg 37 -10.119667 +6.2502e-08 [+1.66e-08] \n", "SCF converged after 37 iterations.\n", "Total SCF time: 1.91371 s\n", "Etot = -10.119666979 Eh\n" ] } ], "source": [ "# Do two identical calculations for different pseudopotentials\n", "atoms1 = Atoms(\"Li2\", [[0, 0, 0], [0, 0, 5]], ecut=5, center=True)\n", "atoms1.Z = 1\n", "scf1 = SCF(atoms1)\n", "scf1.run()\n", "atoms3 = Atoms(\"Li2\", [[0, 0, 0], [0, 0, 5]], ecut=5, center=True)\n", "atoms3.Z = 3\n", "scf3 = SCF(atoms3)\n", "scf3.run();" ] }, { "cell_type": "code", "execution_count": 12, "id": "08aa8933", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "autocontour": true, "contours": { "coloring": "none", "end": 0.012, "size": 0.002, "start": 0.002 }, "line": { "width": 1 }, "ncontours": 10, "type": "contour", "x": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.47619047619047616, 0.47619047619047616, 0.47619047619047616, 0.47619047619047616, 0.47619047619047616, 0.47619047619047616, 0.47619047619047616, 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1.8259794536779898e-06 ] } ], "layout": { "height": 600, "margin": { "b": 0, "l": 0, "r": 0, "t": 0 }, "template": { "data": { "scatter": [ { "type": "scatter" } ] } }, "width": 600, "xaxis": { "range": [ 0, 20 ], "type": "linear", "visible": false }, "yaxis": { "range": [ 0, 20 ], "type": "linear", "visible": false } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Display the contour lines of the density\n", "# One can see the missing density around the atoms\n", "view_contour(scf1, scf1.n)" ] }, { "cell_type": "code", "execution_count": 13, "id": "25e13e5e", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "autocontour": true, "contours": { "coloring": "none", "end": 0.45, "size": 0.05, "start": 0 }, "line": { "width": 1 }, "ncontours": 10, "type": "contour", "x": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.47619047619047616, 0.47619047619047616, 0.47619047619047616, 0.47619047619047616, 0.47619047619047616, 0.47619047619047616, 0.47619047619047616, 0.47619047619047616, 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