SergeiVKalinin / MSE_Fall2024Links
☆64Updated 11 months ago
Alternatives and similar repositories for MSE_Fall2024
Users that are interested in MSE_Fall2024 are comparing it to the libraries listed below
Sorting:
- The materials for the Fall ML in Materials course at the UTK MSE☆88Updated last year
- The materials for the Spring Mathematics in Materials course at the UTK MSE☆49Updated last year
- Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.☆61Updated this week
- Application of Large Language Models (LLM) for computational materials science - visit jan-janssen.com/LangSim☆71Updated 4 months ago
- Deep learning framework for atomistic image data☆34Updated 2 months ago
- ☆20Updated last year
- AlabOS: Managing the workflows in the Autonomous lab☆46Updated 3 months ago
- ☆41Updated last year
- A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.☆44Updated last year
- Course materials for "Applied AI for Materials Science and Engineering"☆67Updated 3 years ago
- A unified platform for fine-tuning atomistic foundation models in chemistry and materials science☆65Updated 3 weeks ago
- ☆26Updated this week
- This repository is no longer maintained. For the latest updates and continued development, please visit: https://github.com/atomgptlab/ja…☆93Updated 4 months ago
- Tutorials for using the pymatgen library☆62Updated 5 months ago
- Data Science for Materials Science☆65Updated 2 weeks ago
- MSE5540/6640 Materials Informatics course at the University of Utah. Learn how data science tools are revolutionizing materials science!☆180Updated 3 months ago
- Codebase to drive the Perovskite Automated Spin Coat Assembly Line (PASCAL) in the Fenning research group.☆19Updated last month
- Strategies for the Construction of Neural-Network Based Machine-Learning Potentials (MLPs)☆28Updated 4 years ago
- Microcourses hosted by the Acceleration Consortium for self-driving lab topics.☆33Updated 3 weeks ago
- A large scale benchmark of materials design methods: https://www.nature.com/articles/s41524-024-01259-w☆72Updated 3 weeks ago
- A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities☆88Updated 3 weeks ago
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆38Updated 3 years ago
- A template for Python packages. Developed by the @quantum-accelerators☆63Updated this week
- Online resource for a practical course in machine learning for materials research at Imperial College London (MATE70026)☆97Updated last month
- ☆31Updated 2 years ago
- ☆34Updated last year
- DARA: Data-driven automated Rietveld analysis for powder XRD phase search and refinement☆28Updated this week
- train and use graph-based ML models of potential energy surfaces☆112Updated last week
- A text-guided diffusion model for crystal structure generation☆66Updated 5 months ago
- Screening the Materials Project for novel materials to be synthesized by the autonomous laboratory (A-Lab).☆46Updated 2 years ago