Using electronic structure to guide AI in designing new materials

Researchers developed a generative model called MatterGen-e⁻ that designs crystal structures alongside local electronic descriptors like Bader charges and density of states. The tool produced more valid, stable, and novel materials for target band gaps and formation energies than models using atomic coordinates alone. This approach allows researchers to guide crystal generation using physical electronic states rather than atomic arrangements alone.

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