yoshida-lab/XenonPy
XenonPy is a Python Software for Materials Informatics
This tool helps materials scientists and researchers accelerate the discovery and design of new materials. It takes material property data and chemical structures, then uses machine learning to predict properties, identify promising new materials, and enhance existing designs. The ideal user is a materials scientist or researcher working with diverse material datasets.
149 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to predict material properties, perform data-driven materials design, or accelerate research in materials science using machine learning.
Not ideal if you are looking for a simple, off-the-shelf software solution that doesn't require programming knowledge or if your focus is outside of materials science.
Stars
149
Forks
59
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Jul 15, 2024
Commits (30d)
0
Dependencies
13
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