works on
benchmarking 1crystal structure prediction 1evolutionary algorithms 1global optimization 1machine learning potentials 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cond-mat.mtrl-sci2026

Performance of universal machine learning potentials in global optimization of inorganic crystal structures

Edan T. Marcial, Laxman Chaudhary, Olesya Gorbunova +1

The paper benchmarks twelve pretrained universal machine learning potentials by using them in unconstrained evolutionary searches to predict ground-state inorganic crystal structur…