Application domain of machine learning in materials science.
Project description
Materials Application Domain Machine Learning (MADML)
Research with respect to application domain with a materials science emphasis is contained within. The GitHub repo can be found in here.
Examples
- Tutorial 1: Assess and fit a single model from all data:
- Tutorial 2: Use model hosted on Docker Hub:
Structure
The structure of the code packages is as follows:
materials_application_domain_machine_learning/
├── examples
│ ├── jupyter
│ └── single_runs
├── src
│ └── madml
└── tests
Coding Style
Python scripts follow PEP 8 guidelines. A usefull tool to use to check a coding style is pycodestyle.
pycodestyle <script>
Authors
Graduate Students
- Lane Schultz - Main Contributer - leschultz
Acknowledgments
- The Computational Materials Group (CMG) at the University of Wisconsin - Madison
- Professor Dane Morgan ddmorgan and Dr. Ryan Jacobs rjacobs914 for computational material science guidence
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