51 citations · 197 across the 10 of their papers we have counts for
3 papers · 1 filter
Physics-informed Bayesian inference of external potentials in classical density-functional theory
Antonio Malpica-Morales, Peter Yatsyshin, Miguel A. Duran-Olivencia +1
The swift progression of machine learning (ML) has not gone unnoticed in the realm of statistical mechanics. ML techniques have attracted attention by the classical density-functio…
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…
Dynamical density functional theory for orientable colloids including inertia and hydrodynamic interactions
Miguel A. Durán-Olivencia, Benjamin D. Goddard, Serafim Kalliadasis
Over the last few decades, classical density-functional theory (DFT) and its dynamic extensions (DDFTs) have become powerful tools in the study of colloidal fluids. Recently, previ…