Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
- Updated
- Python
![]() |
VOOZH | about |
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
Deep learning for molecules and materials book
π A ranked list of awesome atomistic machine learning projects βοΈπ§¬π.
Graph deep learning library for materials
Curated list of known efforts in materials informatics, i.e. in modern materials science
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
About JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ https://www.youtube.com/@dr_k_choudhary
A toolkit for visualizations in materials informatics.
RadonPy is a Python library to automate physical property calculations for polymer informatics.
MACE foundation models (MP, OMAT, mh-1)
Things that you should (and should not) do in your Materials Informatics research.
Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
Fork this repo for a quick start. If "Project Timeline" or "License" appeared on your nav bar, Look Below!
A Highly Opinionated List of Open Source Materials Informatics Resources
SLICES: An Invertible, Invariant, and String-based Crystal Representation [2023, Nature Communications] MatterGPT, SLICES-PLUS
Online resource for a practical course in machine learning for materials research at Imperial College London (MATE70026)
Open-source library for analyzing the results produced by ABINIT
[arXiv:2601.06820] Offical implement of Bgolearn
Python package to aid materials design and informatics
Add a description, image, and links to the materials-informatics topic page so that developers can more easily learn about it.
To associate your repository with the materials-informatics topic, visit your repo's landing page and select "manage topics."