CompRhys/aviary
The Wren sits on its Roost in the Aviary.
This project helps materials scientists and researchers quickly predict material properties. You input raw material data, like POSCAR files or elemental compositions, and it outputs predictions for various material properties such as formation energy. This is designed for scientists and researchers working on discovering and developing new materials.
Use this if you are a materials scientist who wants to apply deep learning models to predict material properties from diverse input formats without extensive setup.
Not ideal if you need highly accurate, production-ready predictions without further training, as the provided examples are for demonstration and not full-scale research.
Stars
61
Forks
13
Language
Python
License
MIT
Category
Last pushed
Jan 06, 2026
Commits (30d)
0
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