FERMat-ML/OMatG

State-of-the-art generative model for crystal structure prediction and de novo generation of inorganic crystals.

47
/ 100
Emerging

This tool helps materials scientists and researchers design new inorganic crystalline materials by either predicting crystal structures for a given atomic composition or generating entirely new crystal structures and compositions from scratch. You input desired atomic elements or let the system propose them, and it outputs stable crystal structures with their atomic arrangements and lattice parameters. It's for anyone involved in discovering and engineering novel materials.

Use this if you need to rapidly explore potential crystal structures for new materials or optimize existing ones, whether you have a specific chemical formula in mind or want to discover entirely novel compounds.

Not ideal if you are working with organic molecules, polymers, or amorphous materials, as this tool is specifically designed for inorganic crystal structures.

materials-science crystallography materials-discovery inorganic-chemistry solid-state-physics
No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 15 / 25
Community 14 / 25

How are scores calculated?

Stars

45

Forks

7

Language

Python

License

MIT

Last pushed

Jan 14, 2026

Commits (30d)

0

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