Jan S. Hesthaven
Orcid: 0000-0001-8074-1586Affiliations:
- EPFL, Lausanne, Switzerland
According to our database1,
Jan S. Hesthaven
authored at least 101 papers
between 1996 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
On csauthors.net:
Bibliography
2024
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs.
J. Comput. Phys., March, 2024
Non-intrusive data-driven reduced-order modeling for time-dependent parametrized problems.
J. Comput. Phys., January, 2024
Perfectly matched layers for the Boltzmann equation: Stability and sensitivity analysis.
J. Comput. Phys., 2024
J. Comput. Phys., 2024
Massively parallel nodal discontinous Galerkin finite element method simulator for room acoustics.
Int. J. High Perform. Comput. Appl., 2024
CoRR, 2024
Galerkin Neural Network-POD for Acoustic and Electromagnetic Wave Propagation in Parametric Domains.
CoRR, 2024
GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications.
CoRR, 2024
Fast Numerical Approximation of Linear, Second-Order Hyperbolic Problems Using Model Order Reduction and the Laplace Transform.
CoRR, 2024
Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reduction.
CoRR, 2024
2023
Adaptive symplectic model order reduction of parametric particle-based Vlasov-Poisson equation.
Math. Comput., October, 2023
Machine learning enhanced real-time aerodynamic forces prediction based on sparse pressure sensor inputs.
CoRR, 2023
Comput. Math. Appl., 2023
2022
SIAM J. Sci. Comput., 2022
Discovery of Slow Variables in a Class Of Multiscale Stochastic Systems Via Neural Networks.
J. Nonlinear Sci., 2022
FC-based shock-dynamics solver with neural-network localized artificial-viscosity assignment.
J. Comput. Phys. X, 2022
Model order reduction for compressible flows solved using the discontinuous Galerkin methods.
J. Comput. Phys., 2022
2021
Controlling oscillations in spectral methods by local artificial viscosity governed by neural networks.
J. Comput. Phys., 2021
J. Comput. Phys., 2021
An artificial neural network approach to bifurcating phenomena in computational fluid dynamics.
CoRR, 2021
Efficient numerical room acoustic simulations with parametrized boundaries using the spectral element and reduced basis method.
CoRR, 2021
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities.
CoRR, 2021
Pointwise error estimate in difference setting for the two-dimensional nonlinear fractional complex Ginzburg-Landau equation.
Adv. Comput. Math., 2021
2020
An Edge Detector Based on Artificial Neural Network with Application to Hybrid Compact-WENO Finite Difference Scheme.
J. Sci. Comput., 2020
A Homotopy Method with Adaptive Basis Selection for Computing Multiple Solutions of Differential Equations.
J. Sci. Comput., 2020
Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism.
J. Comput. Phys., 2020
Controlling oscillations in high-order Discontinuous Galerkin schemes using artificial viscosity tuned by neural networks.
J. Comput. Phys., 2020
CoRR, 2020
2019
J. Sci. Comput., 2019
Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem.
J. Comput. Phys., 2019
Detecting troubled-cells on two-dimensional unstructured grids using a neural network.
J. Comput. Phys., 2019
Discontinuous Galerkin discretizations of the Boltzmann-BGK equations for nearly incompressible flows: Semi-analytic time stepping and absorbing boundary layers.
J. Comput. Phys., 2019
Comput. Phys. Commun., 2019
2018
Communication-aware adaptive Parareal with application to a nonlinear hyperbolic system of partial differential equations.
J. Comput. Phys., 2018
J. Comput. Phys., 2018
Discontinuous Galerkin scheme for the spherical shallow water equations with applications to tsunami modeling and prediction.
J. Comput. Phys., 2018
2017
SIAM J. Sci. Comput., 2017
SIAM J. Numer. Anal., 2017
Efficient Preconditioning of hp-FEM Matrices by Hierarchical Low-Rank Approximations.
J. Sci. Comput., 2017
J. Sci. Comput., 2017
High-Order Accurate Adaptive Kernel Compression Time-Stepping Schemes for Fractional Differential Equations.
J. Sci. Comput., 2017
J. Sci. Comput., 2017
2016
On the Use of ANOVA Expansions in Reduced Basis Methods for Parametric Partial Differential Equations.
J. Sci. Comput., 2016
Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2016
2015
Accuracy of High Order and Spectral Methods for Hyperbolic Conservation Laws with Discontinuous Solutions.
SIAM J. Numer. Anal., 2015
Multiscale Model. Simul., 2015
Numerical Approximation of the Fractional Laplacian via hp-finite Elements, with an Application to Image Denoising.
J. Sci. Comput., 2015
Nodal discontinuous Galerkin methods for fractional diffusion equations on 2D domain with triangular meshes.
J. Comput. Phys., 2015
J. Comput. Phys., 2015
J. Comput. Phys., 2015
2014
SIAM J. Numer. Anal., 2014
Multiscale Model. Simul., 2014
Stable multi-domain spectral penalty methods for fractional partial differential equations.
J. Comput. Phys., 2014
Analysis and application of the nodal discontinuous Galerkin method for wave propagation in metamaterials.
J. Comput. Phys., 2014
2013
J. Comput. Phys., 2013
A generalization of the Wiener rational basis functions on infinite intervals, Part II - Numerical investigation.
J. Comput. Appl. Math., 2013
CoRR, 2013
2012
SIAM J. Sci. Comput., 2012
A reduced basis method for electromagnetic scattering by multiple particles in three dimensions.
J. Comput. Phys., 2012
2011
A generalization of the Wiener rational basis functions on infinite intervals: Part I-derivation and properties.
Math. Comput., 2011
J. Comput. Phys., 2011
J. Comput. Phys., 2011
2010
Certified Reduced Basis Methods and Output Bounds for the Harmonic Maxwell's Equations.
SIAM J. Sci. Comput., 2010
High-order accurate thin layer approximations for time-domain electromagnetics, Part II: Transmission layers.
J. Comput. Appl. Math., 2010
Appl. Math. Comput., 2010
2009
J. Comput. Phys., 2009
High-order accurate thin layer approximations for time-domain electromagnetics. Part I: General metal backed coatings.
J. Comput. Appl. Math., 2009
Implicit-explicit time integration of a high-order particle-in-cell method with hyperbolic divergence cleaning.
Comput. Phys. Commun., 2009
2008
2007
Application of implicit-explicit high order Runge-Kutta methods to discontinuous-Galerkin schemes.
J. Comput. Phys., 2007
2006
SIAM J. Sci. Comput., 2006
J. Sci. Comput., 2006
J. Comput. Phys., 2006
High-order nodal discontinuous Galerkin particle-in-cell method on unstructured grids.
J. Comput. Phys., 2006
2005
SIAM J. Sci. Comput., 2005
SIAM J. Numer. Anal., 2005
2002
Multidomain pseudospectral time-domain simulations of scattering by objects buried in lossy media.
IEEE Trans. Geosci. Remote. Sens., 2002
Long Time Behavior of the Perfectly Matched Layer Equations in Computational Electromagnetics.
J. Sci. Comput., 2002
2001
J. Sci. Comput., 2001
2000
1998
A Stable Penalty Method for the Compressible Navier-Stokes Equations: III. Multidimensional Domain Decomposition Schemes.
SIAM J. Sci. Comput., 1998
1997
A Stable Penalty Method for the Compressible Navier-Stokes Equations: II. One-Dimensional Domain Decomposition Schemes.
SIAM J. Sci. Comput., 1997
1996
A Stable Penalty Method for the Compressible Navier-Stokes Equations: I. Open Boundary Conditions.
SIAM J. Sci. Comput., 1996