most citedMachine learning stochastic differential equations for the evolution of order parameters of classical many-body systems in and out of equilibrium

4 citations · 4 across the 2 of their papers we have counts for

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cs.LG2025

Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations

Patrick Egenlauf, Iva Březinová, Sabine Andergassen +1

Out-of-equilibrium quantum many-body systems exhibit rapid correlation buildup that underlies many emerging phenomena. Exact wave-function methods to describe this scale exponentia…