Machine learning and quantum mechanics team up to understand water at the atomic level
Researchers used artificial neural networks to learn atomic interactions from quantum mechanics, bypassing complex calculations. The ANN was used as a surrogate model to account for errors and improve predictions.
SourceNational Centre of Competence in Research (NCCR) MARVEL·JournalProceedings of the National Academy of Sciences·DateJan 7, 2019