Predicting Dynamic Heterogeneity in Glass-Forming Liquids by Physics-Inspired Machine Learning

Journal article

Open access

Peer reviewed

Gerhard Jung, Giulio Biroli and Ludovic Berthier

Physical Review Letters, Vol.130(23)

26/06/2023

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Title: Predicting Dynamic Heterogeneity in Glass-Forming Liquids by Physics-Inspired Machine Learning
Creators - without role: Gerhard Jung - Université de Montpellier, Laboratoire Charles Coulomb - L2C
Giulio Biroli - Centre National de la Recherche Scientifique
Ludovic Berthier - Université de Montpellier, Laboratoire Charles Coulomb - L2C
Publication Details: Physical Review Letters, Vol.130(23)
Identifiers: 9938898109311
Academic Unit: Laboratoire Charles Coulomb - L2C
Language: English
Resource Type: Journal article
Local Fields: hal-04140995