51 citations · 197 across the 10 of their papers we have counts for
10 papers
Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation
Antonio Malpica-Morales, Miguel A. Durán-Olivencia, Serafim Kalliadasis
Accurate prediction of electricity day-ahead prices is essential in competitive electricity markets. Although stationary electricity-price forecasting techniques have received cons…
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…
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…
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…
Instability, rupture and fluctuations in thin liquid films: Theory and computations
Miguel A. Durán-Olivencia, Rishabh S. Gvalani, Serafim Kalliadasis +1
Thin liquid films are ubiquitous in natural phenomena and technological applications. They have been extensively studied via deterministic hydrodynamic equations, but thermal fluct…
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…
Unification of classical nucleation theories via unified Itô-Stratonovich stochastic equation
Miguel A. Durán-Olivencia, James F. Lutsko
Classical nucleation theory (CNT) is the most widely used framework to describe the early stage of first-order phase transitions. Unfortunately the different points of view adopted…
Extending classical nucleation theory to confined systems
Miguel A. Durán-Olivencia, James F. Lutsko
Classical nucleation theory has been recently reformulated based on fluctuating hydrodynamics [J.F. Lutsko and M.A. Durán-Olivencia, J. Chem. Phys. 138, 244908 (2013)]. The present…
A Two-parameter Extension of Classical Nucleation Theory
James F. Lutsko, Miguel A. Durán-Olivencia
A two-variable stochastic model for diffusion-limited nucleation is developed using a formalism derived from fluctuating hydrodynamics. The model is a direct generalization of the…
Classical nucleation theory from a dynamical approach to nucleation
James F. Lutsko, Miguel A. Durán-Olivencia
It is shown that diffusion-limited classical nucleation theory (CNT) can be recovered as a simple limit of the recently proposed dynamical theory of nucleation based on fluctuating…