NWChem: Open Source High-Performance Computational Chemistry

Density-functional toolkit

🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.

DFTB+ general package for performing fast atomistic simulations

Deep neural networks for density functional theory Hamiltonian.

The official github mirror of the Abinit repository. We welcome bug fixes and improvements. Note that most of the active developments are hosted on our https://gitlab.abinit.org/ server. Before embarking on making significant changes, please contact the Abinit group.

Electronic structure Python package for post analysis and large scale tight-binding DFT/NEGF calculations

nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset

An electronic structure package based on either plane wave basis or numerical atomic orbitals.

QUICK: A GPU-enabled ab intio quantum chemistry software package

p4vasp, the VASP Visualization Tool

Domain specific library for electronic structure calculations

DFT-FE: Real-space DFT calculations using Finite Elements

FeOs - A Framework for Equations of State and Classical Density Functional Theory

Notes and tutorials on Density Functional Theory calculation using Quantum Espresso.

Plane wave density functional theory using Julia programming language

Open-source library for analyzing the results produced by ABINIT

Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)

Python package to analyse electron density & electrostatic potential grids

Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.