CitrineInformatics / MPEA_datasetLinks
Expanded dataset of mechanical properties and observed phases of multi-principal element alloys
☆36Updated 3 years ago
Alternatives and similar repositories for MPEA_dataset
Users that are interested in MPEA_dataset are comparing it to the libraries listed below
Sorting:
- ☆104Updated last month
- Generate random alloys and compute various properties☆59Updated 9 months ago
- Code to help you get started using machine learning in materials science☆17Updated 6 years ago
- ☆21Updated 5 years ago
- Automatic generation of crystal structure descriptions.☆124Updated last week
- Data Science for Materials Science☆64Updated 2 weeks ago
- A script to build reference datasets for training neural network potentials from given LAMMPS trajectories.☆40Updated last week
- 3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)☆41Updated 2 years ago
- Deep learning for crystal-structure recognition and analysis of atomic structures☆43Updated last year
- Repository for links to software packages and databases used in deep-learning applications for materials science☆147Updated 4 months ago
- Python package to aid materials design and informatics☆121Updated 2 weeks ago
- Tutorials for using the pymatgen library☆55Updated 3 months ago
- The functions of superalloyDigger toolkit include batch downloading documents in XML and TXT format from the Elsevier database, locating …☆60Updated 2 months ago
- A synthesis planning algorithm designed by Jiadong Chen, Wenhao Sun, in University of Michigan.☆19Updated last year
- LAMMPS plugins for thermal conductivity and density of states calculation☆48Updated 6 years ago
- Deep learning framework for atomistic image data☆34Updated 3 weeks ago
- ☆61Updated 4 years ago
- MatDeepLearn for DOS prediction☆24Updated 3 years ago
- This repository is no longer maintained. For the latest updates and continued development, please visit: https://github.com/atomgptlab/ja…☆90Updated 2 months ago
- ☆44Updated 2 weeks ago
- MPmorph is a collection of tools to run and analyze ab-initio molecular dynamics (AIMD) calculations run with VASP, and is currently unde…☆74Updated last year
- Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.☆37Updated last year
- This is the code for the paper 'Machine learning-enabled high-entropy alloy discovery'☆75Updated last year
- Machine Learning Interatomic Potential Predictions☆93Updated last year
- Python library for generation of MOFs, COFs, Zeolites...☆30Updated 3 years ago
- Kinetic Monte Carlo of Systems (KMCOS): lattice based kinetic Monte Carlo with a python front-end and Fortran back-end.☆23Updated 2 months ago
- PoreBlazer (v4.0) source code, examples, and geometric properties of porous materials calculated for the subset of 12,000 structures from…☆54Updated last year
- ☆68Updated 2 years ago
- Benchmark Suite for Machine Learning Interatomic Potentials for Materials☆108Updated 3 years ago
- Repository for spectral neighbor analysis potential (SNAP) model development.☆36Updated 5 years ago