38 citations · 38 across the 2 of their papers we have counts for
2 papers
cond-mat.soft2026
Inferring the dynamics of glass-forming liquids from static structure across thermal states
Hidemasa Bessho, Takeshi Kawasaki, Hayato Shiba
In this study, we demonstrate the generalizability of graph neural networks in predicting the dynamic heterogeneity of model glass-forming liquids across different temperatures. Wh…
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…