sedaoturak / data-resources-for-materials-scienceLinks
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
☆353Updated last month
Alternatives and similar repositories for data-resources-for-materials-science
Users that are interested in data-resources-for-materials-science are comparing it to the libraries listed below
Sorting:
- Curated list of known efforts in materials informatics, i.e. in modern materials science☆456Updated last month
- Things that you should (and should not) do in your Materials Informatics research.☆191Updated last year
- MSE5540/6640 Materials Informatics course at the University of Utah. Learn how data science tools are revolutionizing materials science!☆160Updated last week
- Graph deep learning library for materials☆403Updated this week
- Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.☆425Updated last week
- Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov☆319Updated 3 months ago
- Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.☆257Updated last week
- Data mining for materials science☆539Updated 2 weeks ago
- An automatic engine for predicting materials properties.☆160Updated last year
- A Highly Opinionated List of Open Source Materials Informatics Resources☆135Updated 3 years ago
- ☆92Updated 10 years ago
- Repository for links to software packages and databases used in deep-learning applications for materials science☆142Updated 3 months ago
- Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.☆293Updated 4 months ago
- An open-source Python package for creating fast and accurate interatomic potentials.☆330Updated 2 months ago
- A suite of computational materials science tools.☆139Updated last year
- 🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.☆524Updated this week
- DScribe is a python package for creating machine learning descriptors for atomistic systems.☆441Updated 3 weeks ago
- A general cross-platform tool for preparing simulations of molecules and complex molecular assemblies☆294Updated 4 months ago
- The Materials Project Workshop Curriculum☆116Updated 2 years ago
- A code to generate atomic structure with symmetry☆328Updated this week
- ☆199Updated this week
- MatDeepLearn, package for graph neural networks in materials chemistry☆195Updated 2 years ago
- n2p2 - A Neural Network Potential Package☆237Updated 4 months ago
- Matbench: Benchmarks for materials science property prediction☆162Updated 11 months ago
- This add-on to pymatgen provides tools for analyzing diffusion in materials.☆123Updated last week
- This repository is no longer maintained. For the latest updates and continued development, please visit: https://github.com/atomgptlab/al…☆274Updated last month
- Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction☆97Updated 2 years ago
- A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.☆288Updated 4 months ago
- ChemML is a machine learning and informatics program suite for the chemical and materials sciences.☆168Updated 3 months ago
- Predict materials properties using only the composition information!☆107Updated 2 years ago