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cs.CE2025
Convergence of physics-informed neural networks modeling time-harmonic wave fields
Stefan Schoder, Aneta Furmanová, Viktor Hruška
Studying physics-informed neural networks (PINNs) for modeling partial differential equations to solve the acoustic wave field has produced promising results for simple geometries…
cs.CE2023★ 1 cited
Offline coupling of segregated multi-physical simulations with consistent boundary conditions and source terms based on scattered data
Stefan Schoder
This article presents the openCFS submodule scattered data reader for coupling multi-physical simulations performed in different simulation programs. For instance, by considering a…