From 4d964baede40b1f1d85a68647ab40b737c00b7a5 Mon Sep 17 00:00:00 2001 From: ifilot Date: Sun, 15 Sep 2024 11:56:12 +0200 Subject: [PATCH] Expanding documentation --- README.md | 32 +++++++++++++++++++++++++++++--- img/becke-grid.png | Bin 0 -> 162788 bytes img/matrices.png | Bin 0 -> 105394 bytes img/mo_co.png | Bin 0 -> 316056 bytes 4 files changed, 29 insertions(+), 3 deletions(-) create mode 100644 img/becke-grid.png create mode 100644 img/matrices.png create mode 100644 img/mo_co.png diff --git a/README.md b/README.md index a204605..f7202e2 100644 --- a/README.md +++ b/README.md @@ -6,8 +6,9 @@ [![PyPI](https://img.shields.io/pypi/v/pydft?color=green)](https://pypi.org/project/pytessel/) [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0) -Python based Density Functional Theory code for educational purposes. The -documentation of PyDFT can be found [here](https://ifilot.pages.tue.nl/pydft/). +> [!NOTE] +> Python based Density Functional Theory code for educational purposes. The +> documentation of PyDFT can be found [here](https://pydft.imc-tue.nl/). ## Purpose @@ -17,9 +18,34 @@ exchange-correlation functionals. The purpose of PyDFT is mainly to serve as an educational tool to explain the inner workings of a DFT calculation. This program is not intended for professional calculations. It is not particularly fast nor offers a lot of features that more mature open-source of commercial -packages offer. It does offer a unique insight into a working code and a +packages offer. It **does** offer a unique insight into a working code and a considerable effort was made in documenting everything. +## Features + +### Numerical integration using Becke grids + +Electron-electron interaction terms (both classical as well as +exchange-correlation) are performed by means of extensive numerical integration +schemes performed over so-called Becke grids. Utilizing these grids, molecular +integrals are decomposed into series of weighted atomic integrals. + +![Becke grids](img/becke-grid.png) + +### Molecular orbital visualization + +PyDFT can be readily used alongside [matplotlib](https://matplotlib.org/stable/) +to make figures of molecular orbitals or density fields. + +![Molecular orbitals of CO](img/mo_co.png) + +### Extensive output + +Internal matrices, e.g. overlap or Hamiltonian matrix, are exposed to the user +and can be readily visualized using specific matrix visualization routines. + +![Matrices](img/matrices.png) + ## Installation This code depends on a few other packages. 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