13 citations · 26 across the 16 of their papers we have counts for
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cs.CE2026
Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models
Freja Høgholm Petersen, Jesper Sandvig Mariegaard, Rocco Palmitessa +1
While proper orthogonal decomposition (POD)-based surrogates are widely explored for hydrodynamic applications, the use of Koopman autoencoders for real-world coastal-ocean modelli…
cs.CE2024★ 13 cited
Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
Matteo Calafà, Emil Hovad, Allan P. Engsig-Karup +1
We propose physics-informed holomorphic neural networks (PIHNNs) as a method to solve boundary value problems where the solution can be represented via holomorphic functions. Speci…