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physics.comp-ph2019
A Finite-Volume Method for Fluctuating Dynamical Density Functional Theory
Antonio Russo, Sergio P. Perez, Miguel A. Durán-Olivencia +3
We introduce a finite-volume numerical scheme for solving stochastic gradient-flow equations. Such equations are of crucial importance within the framework of fluctuating hydrodyna…
cond-mat.stat-mech2019★ 15 cited
Machine learning memory kernels as closure for non-Markovian stochastic processes
Antonio Russo, Miguel A. Duran-Olivencia, Ioannis G. Kevrekidis +1
Finding the dynamical law of observable quantities lies at the core of physics. Within the particular field of statistical mechanics, the generalized Langevin equation (GLE) compri…