2 citations · 2 across the 2 of their papers we have counts for
2 papers
cond-mat.stat-mech2026
Self-averaging parameter estimation for coarse-grained particle models
Carlos Monago, J. A. de la Torre, Pep Español
We introduce a parameter estimation method that utilizes microscopic data, specifically averages and correlations of selected microscopic observables, to determine the parameters o…
physics.flu-dyn2024★ 2 cited
Hammering at the entropy: A GENERIC-guided approach to learning polymeric rheological constitutive equations using PINNs
David Nieto Simavilla, Andrea Bonfanti, Imanol García de Beristain +2
We present a versatile framework that employs Physics-Informed Neural Networks (PINNs) to discover the entropic contribution that leads to the constitutive equation for the extra-s…