OnsagerFlow: Learning mesoscopic dynamics from microscopic simulation

Published: 25 Mar 2026, Last Modified: 22 Apr 2026AI4X-AC 2026 PosterEveryoneRevisionsBibTeXCC BY 4.0
Submission Type: I want my submission to be considered for both oral and poster presentation.
Keywords: OnsagerFlow, Mesoscopic Dynamics, Multi-scale Modelling, Ising Model
TL;DR: We present OnsagerFlow, a data-driven approach that utilizes the Fluctuation-Dissipation Theorem to learn quantitatively accurate, interpretable stochastic PDEs from microscopic spin data.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 223
Loading