%0 Journal Article
%T Predicting Dynamic Heterogeneity in Glass-Forming Liquids by Physics-informed Machine Learning
%+ Laboratoire Charles Coulomb (L2C)
%+ Systèmes Désordonnés et Applications
%A Jung, Gerhard
%A Biroli, Giulio
%A Berthier, Ludovic
%< avec comité de lecture
%@ 0031-9007
%J Physical Review Letters
%I American Physical Society
%V 130
%N 23
%P 238202
%8 2023-06-26
%D 2023
%Z 2210.16623
%R 10.1103/PhysRevLett.130.238202
%Z Physics [physics]Journal articles
%G English
%2 https://hal.science/hal-04140995/document
%2 https://hal.science/hal-04140995/file/2210.16623.pdf
%L hal-04140995
%U https://hal.science/hal-04140995
%~ ENS-PARIS
%~ CNRS
%~ L2C
%~ PSL
%~ UNIV-MONTPELLIER
%~ SORBONNE-UNIVERSITE
%~ SORBONNE-UNIV
%~ LPENS
%~ UNIV-PARIS
%~ UNIVERSITE-PARIS
%~ UP-SCIENCES
%~ ENS-PSL
%~ SU-TI
%~ ALLIANCE-SU
%~ UM-2015-2021
%~ UM-EPE