NU-CUCIS/ElemNet
Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
ElemNet helps materials scientists and researchers predict material properties and even phase diagrams using only their elemental compositions. You input the elemental makeup of a material, and it outputs predictions for various material properties, automatically learning the underlying chemistry. This tool is designed for materials scientists, chemists, and researchers who need to quickly evaluate potential new materials or understand chemical systems without extensive experiments or complex simulations.
102 stars.
Use this if you need to predict material properties or understand phase diagrams by simply providing elemental compositions, especially when working with new or uncharacterized materials.
Not ideal if your primary goal is to analyze atomic-level structures or require predictions based on detailed physical attributes beyond elemental composition.
Stars
102
Forks
35
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 13, 2026
Commits (30d)
0
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