costrouc / mse-machinelearning-notebooksLinks
Machine Learning Introduction for a Material Scientist
☆20Updated 4 years ago
Alternatives and similar repositories for mse-machinelearning-notebooks
Users that are interested in mse-machinelearning-notebooks are comparing it to the libraries listed below
Sorting:
- MAterials Simulation Toolkit for Machine Learning (MAST-ML)☆125Updated 5 months ago
- ☆123Updated last year
- Open-source library for analyzing the results produced by ABINIT☆127Updated last week
- Data Science for Materials Science☆65Updated this week
- A machine learning environment for atomic-scale modeling in surface science and catalysis.☆116Updated last year
- The materials for the Fall ML in Materials course at the UTK MSE☆87Updated last year
- Lattice gas Monte Carlo simulation code☆33Updated 5 years ago
- Reference implementation in python for Citrination api☆14Updated 4 years ago
- ☆95Updated 3 weeks ago
- A suite of computational materials science tools.☆140Updated last year
- Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.☆264Updated last month
- Advanced data SCiEnce toolkit for Non-Data scientists☆68Updated 2 years ago
- Veidt is a deep learning library for materials science.☆18Updated 5 years ago
- A Highly Opinionated List of Open Source Materials Informatics Resources☆140Updated 3 years ago
- An automatic engine for predicting materials properties.☆164Updated last year
- Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction☆97Updated 2 years ago
- Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.☆44Updated this week
- First-principles statistical mechanical software for the study of multi-component crystalline solids☆118Updated last year
- Course materials for NANO 106 - Crystallography of Materials☆36Updated 3 years ago
- computational physics class taught at UNLV (Phys300)☆127Updated 3 years ago
- A simulation package of phonon-phonon interaction related properties☆145Updated last week
- Things that you should (and should not) do in your Materials Informatics research.☆193Updated last year
- The Materials Project Workshop Curriculum☆116Updated 2 years ago
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆38Updated 3 years ago
- Materials science with Python at the atomic-scale☆218Updated 3 weeks ago
- Python Materials Discovery Framework☆75Updated last year
- Code to help you get started using machine learning in materials science☆17Updated 6 years ago
- Assets for the 2017 Materials Project workshop☆21Updated 7 years ago
- The ability to manipulate domains and domain walls underpins function in a range of next-generation applications of ferroelectrics. While…☆22Updated 2 years ago
- Python package to aid materials design and informatics☆123Updated last week