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#

computational-materials-science

Here are 76 public repositories matching this topic...

MatterSim: A deep learning atomistic model across elements, temperatures and pressures.

  • UpdatedJul 6, 2025
  • Jupyter Notebook
chgnet

Pretrained universal neural network potential for charge-informed atomistic modelinghttps://chgnet.lbl.gov

  • UpdatedApr 14, 2025
  • Python
quacc

quacc is a flexible platform for computational materials science and quantum chemistry that is built for the big data era.

  • UpdatedJul 8, 2025
  • Python
doped

doped is a Python software for the generation, pre-/post-processing and analysis of defect supercell calculations, implementing the defect simulation workflow in an efficient, reproducible, user-friendly yet powerful and fully-customisable manner.

  • UpdatedJul 11, 2025
  • Python

A collection of interactive notebooks to explain concepts of quantum mechanics and related topics

  • UpdatedJun 5, 2025
  • Jupyter Notebook
LobsterPy

Package to perform automatic bonding analysis with the program Lobster in the field of computational materials science and quantum chemistry

  • UpdatedJul 11, 2025
  • Python

A Virtual Machine for computational materials science

  • UpdatedMar 19, 2024
  • Python

Cellular automata code for alloy nucleation and solidification written with Kokkos

  • UpdatedJul 8, 2025
  • C++

Application of Large Language Models (LLM) for computational materials science - visit jan-janssen.com/LangSim

  • UpdatedOct 23, 2024
  • Jupyter Notebook

A tool for streamlining data analysis and visualisation for thermoelectrics and charge carrier transport in computational materials science.

  • UpdatedMay 9, 2025
  • Python

Phase-field code in MATLAB to solve the phase-field model of Fan & Chen for Grain Growth phenomena in 2D

  • UpdatedApr 9, 2021
  • MATLAB

Original implementation of CSPML

  • UpdatedDec 22, 2024
  • Jupyter Notebook

Python python toolset for Structure-Informed Property and Feature Engineering with Neural Networks. It offers unique advantages through (1) effortless extensibility, (2) optimizations for ordered, dilute, and random atomic configurations, and (3) automated model tuning.

  • UpdatedApr 25, 2025
  • Python

Grand canonical optimization of grain boundary phases.

  • UpdatedMay 9, 2025
  • Python

This is a repository containing an advanced tutorial for jobflow (https://github.com/materialsproject/jobflow) related to computational materials science

  • UpdatedJun 5, 2023
  • Jupyter Notebook

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