Interface learning in fluid dynamics: Statistical inference of closures within micro–macro-coupling models
Sign Up to like & getrecommendations! Published in 2020 at "Physics of Fluids"
DOI: 10.1063/5.0024670
Abstract: Many complex multiphysics systems in fluid dynamics involve using solvers with varied levels of approximations in different regions of the computational domain to resolve multiple spatiotemporal scales present in the flow. The accuracy of the… read more here.
Keywords: fluid dynamics; micro macro; interface learning; macro ... See more keywords
Interface learning of multiphysics and multiscale systems
Sign Up to like & getrecommendations! Published in 2020 at "Physical review. E"
DOI: 10.1103/physreve.102.053304
Abstract: Complex natural or engineered systems comprise multiple characteristic scales, multiple spatiotemporal domains, and even multiple physical closure laws. To address such challenges, we introduce an interface learning paradigm and put forth a data-driven closure approach… read more here.
Keywords: interface learning; methodology; multiscale systems; learning multiphysics ... See more keywords