Allan P. Engsig-Karup
Orcid: 0000-0001-8626-1575
According to our database1,
Allan P. Engsig-Karup
authored at least 27 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Massively parallel nodal discontinous Galerkin finite element method simulator for room acoustics.
Int. J. High Perform. Comput. Appl., 2024
Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems.
CoRR, 2024
A High-Order Hybrid-Spectral Incompressible Navier-Stokes Model For Nonlinear Water Waves.
CoRR, 2024
A stable decoupled perfectly matched layer for the 3D wave equation using the nodal discontinuous Galerkin method.
CoRR, 2024
2023
A spectral element solution of the Poisson equation with shifted boundary polynomial corrections: influence of the surrogate to true boundary mapping and an asymptotically preserving Robin formulation.
CoRR, 2023
Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators.
CoRR, 2023
Solving the complete pseudo-impulsive radiation and diffraction problem using a spectral element method.
CoRR, 2023
Reduced order modelling using parameterized non-uniform boundary conditions in room acoustic simulations.
CoRR, 2023
2022
Accelerating hydrodynamic simulations of urban drainage systems with physics-guided machine learning.
CoRR, 2022
CoRR, 2022
2021
Physics-Informed Neural Networks (PINNs) for Sound Field Predictions with Parameterized Sources and Impedance Boundaries.
CoRR, 2021
Efficient numerical room acoustic simulations with parametrized boundaries using the spectral element and reduced basis method.
CoRR, 2021
2020
Efficient p-multigrid spectral element model for water waves and marine offshore structures.
CoRR, 2020
2019
A multiscale direct solver for the approximation of flows in high contrast porous media.
J. Comput. Appl. Math., 2019
A massively scalable distributed multigrid framework for nonlinear marine hydrodynamics.
Int. J. High Perform. Comput. Appl., 2019
Data-driven American Option Pricing using Artificial Neural Networks.
Proceedings of the Advances in Data Mining, 2019
Reduced Order Modeling for Nonlinear PDE-constrained Optimization using Neural Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019
2018
Screening wells by multi-scale grids for multi-stage Markov Chain Monte Carlo simulation.
Math. Comput. Simul., 2018
2017
Numerical Multilevel Upscaling for Incompressible Flow in Reservoir Simulation: An Element-Based Algebraic Multigrid (AMGe) Approach.
SIAM J. Sci. Comput., 2017
2016
J. Comput. Phys., 2016
2014
On the numerical and computational aspects of non-smoothnesses that occur in railway vehicle dynamics.
Math. Comput. Simul., 2014
On devising Boussinesq-type models with bounded eigenspectra: One horizontal dimension.
J. Comput. Phys., 2014
A non-linear wave decomposition model for efficient wave-structure interaction. Part A: Formulation, validations and analysis.
J. Comput. Phys., 2014
2012
Proceedings of the Facing the Multicore-Challenge, 2012
2009
J. Comput. Phys., 2009