density-functional-theory
There are 254 repositories under density-functional-theory topic.
nwchemgit/nwchem
NWChem: Open Source High-Performance Computational Chemistry
JuliaMolSim/DFTK.jl
Density-functional toolkit
JuDFTteam/best-of-atomistic-machine-learning
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
dftbplus/dftbplus
DFTB+ general package for performing fast atomistic simulations
mzjb/DeepH-pack
Deep neural networks for density functional theory Hamiltonian.
abinit/abinit
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.
zerothi/sisl
Electronic structure Python package for post analysis and large scale tight-binding DFT/NEGF calculations
AIRI-Institute/nablaDFT
nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset
deepmodeling/abacus-develop
An electronic structure package based on either plane wave basis or numerical atomic orbitals.
merzlab/QUICK
QUICK: A GPU-enabled ab intio quantum chemistry software package
orest-d/p4vasp
p4vasp, the VASP Visualization Tool
dftfeDevelopers/dftfe
DFT-FE: Real-space DFT calculations using Finite Elements
electronic-structure/SIRIUS
Domain specific library for electronic structure calculations
feos-org/feos
FeOs - A Framework for Equations of State and Classical Density Functional Theory
pranabdas/espresso
Notes and tutorials on Density Functional Theory calculation using Quantum Espresso.
abinit/abipy
Open-source library for analyzing the results produced by ABINIT
f-fathurrahman/PWDFT.jl
Plane wave density functional theory using Julia programming language
diffqc/dqc
Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)
WMD-group/MacroDensity
Python package to analyse electron density & electrostatic potential grids
mala-project/mala
Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.
XanaduAI/GradDFT
GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
dalcorso/pslibrary
A library of ultrasoft and PAW pseudopotentials
SPARC-X/SPARC
Simulation Package for Ab-initio Real-space Calculations
pipidog/ONCVPSP
Optimized Norm-Conserving Vanderbilt Pseudopotential for Quantum Espresso in UPF format
Infant83/VASPBERRY
Berry curvature and Chern number calculations with the output (WAVECAR) of VASP code
tjz21/DFT_PIB_Code
Interactive Jupyter Notebooks for learning the fundamentals of Density-Functional Theory (DFT)
ajz34/Py_xDH
Document and code of python and PySCF approach XYG3 type of density functional 2nd-derivative realization
aromanro/PythonCompphys
Some python workbooks with various topics from Computational Physics
fspiga/qe-gpu
GPU-accelerated Quantum ESPRESSO using CUDA FORTRAN
pnnl/isicle
In silico chemical library engine for high-accuracy chemical property prediction
symmy596/SurfinPy
Thermodynamic Phase Diagram Generator
dalcorso/thermo_pw
Thermo_pw is a driver of quantum-ESPRESSO routines for the automatic computation of ab-initio material properties.
nguyen-group/QE-SSP
This repository contains example codes for the book: Quantum ESPRESSO Course for Solid‑State Physics, Jenny Stanford Publishing, New York, 372 Pages (2022) by N. T. Hung, A. R. T. Nugraha and R. Saito.
QChASM/AaronTools.py
Python tools for automating routine tasks encountered when running quantum chemistry computations.
sail-sg/jax_xc
Exchange correlation functionals translated from libxc to jax
funkymunkycool/Cube-Toolz
Python tool to manipulate Gaussian cube files