Kaaiian / Houston_ML_in_MSE_workshopLinks
Code to help you get started using machine learning in materials science
☆19Updated 6 years ago
Alternatives and similar repositories for Houston_ML_in_MSE_workshop
Users that are interested in Houston_ML_in_MSE_workshop are comparing it to the libraries listed below
Sorting:
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆43Updated 3 years ago
- ☆102Updated 4 months ago
- Tool to quickly create a composition-based feature vector☆29Updated 3 years ago
- ☆22Updated 5 years ago
- 3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)☆43Updated 2 years ago
- Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction☆99Updated 2 weeks ago
- Machine Learning Interatomic Potential Predictions☆94Updated last year
- A toolkit for querying data in OQMD.☆22Updated 4 years ago
- Predict materials properties using only the composition information!☆120Updated 2 years ago
- This repository is no longer maintained. For the latest updates and continued development, please visit: https://github.com/atomgptlab/ja…☆93Updated 6 months ago
- The Materials Project Workshop Curriculum☆117Updated 2 years ago
- The materials for the Fall ML in Materials course at the UTK MSE☆88Updated 2 years ago
- A synthesis planning algorithm designed by Jiadong Chen, Wenhao Sun, in University of Michigan.☆21Updated last year
- Python package to aid materials design and informatics☆129Updated last week
- ☆73Updated 4 years ago
- Things that you should (and should not) do in your Materials Informatics research.☆196Updated 2 years ago
- ☆115Updated 5 months ago
- Heat capacity predictor for porous materials☆13Updated last year
- An automatic engine for predicting materials properties.☆169Updated 2 years ago
- This add-on to pymatgen provides tools for analyzing diffusion in materials.☆133Updated 3 weeks ago
- MAterials Simulation Toolkit for Machine Learning (MAST-ML)☆128Updated 3 months ago
- General purpose tools for high-throughput catalysis☆101Updated 8 months ago
- Solid-state synthesis science analyzer. Thermo, features, ML, and more.☆26Updated 3 years ago
- The QMOF Database: A database of quantum-mechanical properties for metal-organic frameworks.☆158Updated 2 months ago
- Automatic generation of crystal structure descriptions.☆129Updated this week
- Benchmark Suite for Machine Learning Interatomic Potentials for Materials☆109Updated 3 years ago
- A Python library and command line interface for automated free energy calculations☆86Updated last month
- Tutorials for using the pymatgen library☆66Updated 8 months ago
- Data Science for Materials Science☆66Updated this week
- MatDeepLearn for DOS prediction☆26Updated 3 years ago