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Mobility-network topology carries incremental, softness-orthogonal information about future aging dynamics in a glass-forming liquid

Li, Zhenpeng
arXiv (All) · Papers
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disordered-systems-and-neural-networkssoft-condensed-matter
Does the spatial organization of particle mobility in a glass predict future motion beyond what local structure knows? In leakage-free simulations of an aging Kob--Andersen liquid ($N=2028$; 200 trajectories; three temperatures), mobility-network topology raises the out-of-fold $R^2$ by $\dRtwo=0.00
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