123 citations · 447 across the 29 of their papers we have counts for
8 papers · 1 filter
Conformalized Physics-Informed Weak Regression for Parameter Estimation in Epidemic Models
Allan Peter Engsig-Karup
Compartment models of infectious diseases are often linear in coefficients that are physical parameters or products or ratios of them. We exploit this with closed-form least square…
AURA: Angular Update Rate Adaptation for training complex-valued neural networks
Enrico Ballini, Allan Peter Engsig-Karup, Tito Andriollo
Complex-valued neural networks (CVNNs) are increasingly adopted for complex-valued data; however, they are often trained with first-order optimizers inherited from the real-valued…
A high-order polynomial-corrected shifted boundary method for simulating fully nonlinear water waves
Jens Visbech, Allan P. Engsig-Karup, Harry B. Bingham +1
We present a novel unfitted computational framework for simulating fully nonlinear potential flow-based water waves. Focusing on wave propagation, we describe the core methodology,…
Estimating Hydrodynamic Coefficients for Floating Offshore Structures from Movement Data Using Physics-Informed Neural Networks
Anders Schou, Jens Visbech, Allan Peter Engsig-Karup
We present a method for estimating the hydrodynamic coefficients in the Cummins equations using time-series data from a moving body, such as a floating offshore structure. The prop…
A holomorphic neural network framework for 3D boundary value problems governed by harmonic potentials
Enrico Ballini, Allan Peter Engsig-Karup, Tito Andriollo
We present a neural-network-based framework for the solution of three-dimensional boundary value problems where the solution is expressible in terms of harmonic potentials. The app…
An IMEX-DG solver with non-conforming mesh refinement for atmospheric dynamics with rotation
Letizia Bottani, Tommaso Benacchio, Giuseppe Orlando +2
We present a high-order implicit-explicit discontinuous Galerkin (IMEX-DG) solver for the compressible Euler equations to account for rotational effects within a fully compressible…
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…
An unstructured second-order subgrid method for the shallow water equations
Max Ebstrup Bitsch, Irene Torpe Heilmann, Allan Peter Engsig-Karup +2
We propose a new unstructured numerical subgrid method for solving the shallow water equations using a finite volume method with enhanced bathymetry resolution. The method employs…