38 citations · 72 across the 8 of their papers we have counts for
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cond-mat.soft2023★ 38 cited
Roadmap on machine learning glassy dynamics
Gerhard Jung, Rinske M. Alkemade, Victor Bapst +10
Unraveling the connections between microscopic structure, emergent physical properties, and slow dynamics has long been a challenge when studying the glass transition. The absence…
cond-mat.soft2023★ 19 cited
Dynamic heterogeneity at the experimental glass transition predicted by transferable machine learning
Gerhard Jung, Giulio Biroli, Ludovic Berthier
We develop a transferable machine learning model which predicts structural relaxation from amorphous supercooled liquid structures. The trained networks are able to predict dynamic…