2 papers
cs.LG2024
Improving physics-informed DeepONets with hard constraints
Rüdiger Brecht, Dmytro R. Popovych, Alex Bihlo +1
Current physics-informed (standard or deep operator) neural networks still rely on accurately learning the initial and/or boundary conditions of the system of differential equation…
physics.comp-ph2024
Physics-informed neural networks for tsunami inundation modeling
Rüdiger Brecht, Elsa Cardoso-Bihlo, Alex Bihlo
We use physics-informed neural networks for solving the shallow-water equations for tsunami modeling. Physics-informed neural networks are an optimization based approach for solvin…