sedaoturak / data-resources-for-materials-scienceLinks
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
☆390Updated 2 months ago
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☆478Updated 3 months ago
- Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.☆442Updated last week
- MSE5540/6640 Materials Informatics course at the University of Utah. Learn how data science tools are revolutionizing materials science!☆191Updated this week
- Data mining for materials science☆560Updated last week
- Graph deep learning library for materials☆482Updated this week
- Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.☆271Updated last week
- Things that you should (and should not) do in your Materials Informatics research.☆195Updated 2 years ago
- Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov☆345Updated last month
- A Highly Opinionated List of Open Source Materials Informatics Resources☆142Updated 3 years ago
- Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.☆306Updated 8 months ago
- An automatic engine for predicting materials properties.☆168Updated 2 years ago
- ☆99Updated 2 months ago
- Repository for links to software packages and databases used in deep-learning applications for materials science☆150Updated 7 months ago
- A code to generate atomic structure with symmetry☆346Updated this week
- atomate is a powerful software for computational materials science and contains pre-built workflows.☆260Updated last year
- A suite of computational materials science tools.☆141Updated last year
- A toolkit for visualizations in materials informatics.☆285Updated last month
- Atomistic Line Graph Neural Network https://scholar.google.com/citations?user=9Q-tNnwAAAAJ https://www.youtube.com/@dr_k_choudhary☆289Updated 3 months ago
- DScribe is a python package for creating machine learning descriptors for atomistic systems.☆453Updated 2 months ago
- pyiron - an integrated development environment (IDE) for computational materials science.☆432Updated last month
- atomate2 is a library of computational materials science workflows☆258Updated this week
- An open-source Python package for creating fast and accurate interatomic potentials.☆340Updated 3 months ago
- A general cross-platform tool for preparing simulations of molecules and complex molecular assemblies☆303Updated 3 weeks ago
- New API client for the Materials Project☆151Updated last week
- Materials science with Python at the atomic-scale☆227Updated last week
- 🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.☆588Updated this week
- MatDeepLearn, package for graph neural networks in materials chemistry☆198Updated 2 years ago
- ☆265Updated last month
- Python package to aid materials design and informatics☆128Updated last week
- Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction☆98Updated 2 years ago