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physics.flu-dyn2026
Finite basis physics-informed neural networks with hard constraints for viscous fluid flow in highly perforated domains
Jeeeun Lee, Denis Korolev, Miro Duhovic +1
In this work, viscous fluid flow governed by the Stokes equations in highly perforated domains is studied using physics-informed neural networks (PINNs). Perforated microstructures…
physics.app-ph2026
3D Finite Element-Based Multiphysics Simulation of a Shape Memory Alloy Hybrid Composite Module
Lukas Handl, Max Kaiser, Miro Duhovic +1
Shape adaptive shape memory alloy hybrid composites (SMAHCs) are composites that incorporate shape memory alloys (SMAs) to realize shape transformation. Despite the availability of…