Paso de mensajes nodo-equivariante para potenciales interatómicos de aprendizaje automático eficientes y precisos

Yaolong Zhang1, Hua Guo1

  • 1Department of Chemistry and Chemical Biology, Center for Computational Chemistry, University of New Mexico Albuquerque New Mexico 87131 USA ylzhangch@unm.edu.

Chemical science
|January 7, 2026
PubMed
Resumen

Introducimos un nuevo marco de paso de mensajes nodo-equivariante (NEMP), que reduce significativamente los costos computacionales para potenciales interatómicos de aprendizaje automático. Este avance permite simulaciones a gran escala con alta precisión, avanzando en la ciencia de materiales y la biofísica.

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