material-science
There are 133 repositories under material-science topic.
cp2k/cp2k
Quantum chemistry and solid state physics software package
rouyang2017/SISSO
A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.
boschresearch/pylife
a general library for fatigue and reliability
dftfeDevelopers/dftfe
DFT-FE: Real-space DFT calculations using Finite Elements
scikit-learn-contrib/scikit-matter
A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities
mushroomfire/mdapy
A simple and fast python library to handle the data generated from molecular dynamics simulations
fspiga/qe-gpu
GPU-accelerated Quantum ESPRESSO using CUDA FORTRAN
lab-cosmo/torch-pme
Particle-mesh based calculations of long-range interactions in PyTorch
CompRhys/aviary
The Wren sits on its Roost in the Aviary.
lanl/Fierro
Fierro is a C++ code designed to aid the research and development of numerical methods, testing of user-specified models, and creating multi-scale models related to quasi-static solid mechanics and compressible material dynamics using low- and high-order meshes.
pylada/pylada-light
A physics computational framework for python and ipython
sail-sg/jrystal
A JAX-based Differentiable Density Functional Theory Framework for Materials
drcassar/glasspy
Python module for scientists working with glass materials
rshkarin/quanfima
Quanfima (Quantitative Analysis of Fibrous Materials)
mcsorkun/V2DB
V2DB (Virtual 2D Materials Database): the code for generating and predicting the novel 2D materials by virtual screening.
mdavezac/Crystals.jl
Atomic crystal structures for Julia
alesgenova/pbcpy
Python package providing some useful tools when dealing with molecules and materials under periodic boundary conditions and uniform grids. This is a mirror of https://gitlab.com/ales.genova/pbcpy
Neelfrost/microstructure-mas
Microstructure Modeling and Simulation. Generate microstructures using site-saturation condition, and simulate grain growth using Monte Carlo Potts Model.
Gressling/examples
Examples for the book 'Data Science in Chemistry', ISBN: 978-3-11-062939-2, Published: 23 Nov 2020
nlesc-nano/swan
Statistical models to predict new materials
romankempt/hetbuilder
Builds 2D heterostructures via coincidence lattice theory.
BlueQuartzSoftware/simplnx
The backend algorithms and framework associated with DREAM3DNX, a data analysis program for materials science data analytics
cp-paw/cp-paw
Main repository for the CP-PAW code
cakshat/MatSci-LLM-Agents
Agentic framework combining the power of LLMs with domain-specific tools for materials science, enabling property extraction, simulations, and crystal structure generation to accelerate innovative material design and analysis.
materials-commons/materialscommons.org
The Materials Commons website
ealcobaca/mlglass
We share in this repository some codes and data used during our research about glass property prediction and the design of new glasses.
mlacs-developers/mlacs
A python library for machine-Learning assisted canonical sampling
odarbelaeze/vegas-lattice-rs
Lattice generator library and tool in rust.
OpenChemistry/materialsdatabank
An information portal for 3D atomic electron tomography data
MehrdadJalali-AI/LLM-ELN
Integrating LLMs with ELNs to transform materials science research at KIT, enhancing data management and accelerating scientific innovation.
idaholab/PANDA
This software provides dislocation-type defect identification and segmentation using a standard open source computer vision model, YOLO11, that leverages transfer learning to create a highly effective dislocation defect quantification tool while using only a minimal number of expert annotated micrographs for training.
KIST-CSRC/DenseSSD
Machine vision for vial positioning detection toward the safe automation of material synthesis
marcosdelcueto/MachineLearning_AcceptorDonor
Code allows the use of different machine learning methods to predict efficiency of organic photovoltaics using different descriptors
MolarVerse/PQAnalysis
PQAnalysis is a API/CLI python package for the analysis of MD simulations
vijaypurohit/wien2k
This provides the files needed and detailed process (instructions) to install the wien2k 14.2 in Linux.