Jan S. Hesthaven
Domaines de compétences
Jan S Hesthaven publications
Controlling oscillations in spectral schemes using Artificial Neural Networks2020-09-14
A hierarchical preconditioner for wave problems in quasilinear complexity2020-09-09.
Massive parallel nodal discontinuous Galerkin finite element method simulator for room acousticsInternational Journal of High Performance Computing Applications. 2020-09-06.
Physics-informed machine learning for reduced-order modeling of nonlinear problems2020-07-23.
Rare event simulation for large-scale structures with local nonlinearitiesComputer Methods In Applied Mechanics And Engineering. 2020-07-01. DOI : 10.1016/j.cma.2020.113051.
A non-intrusive multifidelity method for the reduced order modeling of nonlinear problemsComputer Methods In Applied Mechanics And Engineering. 2020-06-01. DOI : 10.1016/j.cma.2020.112947.
Constraint-aware neural networks for Riemann problemsJournal Of Computational Physics. 2020-05-15. DOI : 10.1016/j.jcp.2020.109345.
Controlling oscillations in high-order Discontinuous Galerkin schemes using artificial viscosity tuned by neural networksJournal Of Computational Physics. 2020-05-15. DOI : 10.1016/j.jcp.2020.109304.
Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health MonitoringComputer Methods In Applied Mechanics And Engineering. 2020-05-01. DOI : 10.1016/j.cma.2020.112896.
A Study of Several Artificial Viscosity Models within the Discontinuous Galerkin FrameworkCommunications In Computational Physics. 2020-05-01. DOI : 10.4208/cicp.OA-2019-0118.
Controlling oscillations in spectral methods by local artificial viscosity governed by neural networks2020-04-09.
Two-Dimensional RBF-ENO Method on Unstructured GridsJournal Of Scientific Computing. 2020-03-11. DOI : 10.1007/s10915-020-01176-2.
A Homotopy Method with Adaptive Basis Selection for Computing Multiple Solutions of Differential EquationsJournal Of Scientific Computing. 2020-01-13. DOI : 10.1007/s10915-020-01123-1.
Numerical methods for structural anomaly detection using model order reduction and data-driven techniquesLausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7734.
Effective diffusion tensor measured by diffusion MRI of moving and deforming domainsJournal of Magnetic Resonance. 2020.
Waves at a fluid-solid interface: Explicit versus implicit formulation of boundary conditions using a discontinuous Galerkin method2019-12-23.
Modeling extended-reaction boundary conditions in time-domain wave-based simulations of room acoustics2019-10-31.
Time domain room acoustic simulations using the spectral element methodJournal Of The Acoustical Society Of America. 2019-06-01. DOI : 10.1121/1.5109396.
Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism2019.
RBF Based CWENO Method2018-11-09. ICOSAHOM 2018, London, UK.
Entropy stable essentially non-oscillatory methods based on RBF reconstructionsMathematical Modeling and Numerical Analysis. 2018-08-14.
Conservative Model Order Reduction for Fluid FlowAdvances in reduced order modeling; Springer Verlag, 2018-08-06.
A data-driven shock capturing approach for discontinuous Galekin methods2018-06-18.
POD-Kriging reduced method’s application in Tandem Cylinders’ flowJournal of Northwestern Polytechnical University. 2018-06-01.
Controlling oscillations in high-order schemes using neural networks2018
Structure-Preserving Reduced Basis Methods for Hamiltonian Systems with a State-dependent Poisson Structure2018.
Symplectic Model-Reduction with a Weighted Inner ProductSIAM Journal of Scientific Computing. 2018.
Numerical methods for conservation laws: From analysis to algorithmsPhiladelphia: SIAM Publishing.
A comparative study of shock capturing models for the discontinuous Galerkin methodJournal of Computational Physics. 2017.
Large-Scale Tsunami Simulations using the Discontinuous Galerkin Method27th Biennial Conference on Numerical Analysis, Glasgow, UK, June 27-30, 2017.
Structure-Preserving Model-Reduction of Dissipative Hamiltonian SystemsJournal of Scientific Computing. 2017.
A greedy non-intrusive reduced order model for fluid dynamicsJournal of Northwestern Polytechnical University. 2017.
Spectral Methods for Hyperbolic ProblemsHandbook of Numerical Methods for Hyperbolic Problems Basic and Fundamental Issues; Elsevier Publishing, 2016. p. 441-466.
Spectral methods for tempered fractional differential equationsMathematics of Computation. 2016.
Efficient Absorbing Layers for Weakly Compressible Flows2016
Certified Reduced Basis Methods for Parametrized Partial Differential EquationsSpringer Verlag.
Hyperbolic Problems: Theory and ComputationJournal Of Scientific Computing. 2015. DOI : 10.1007/s10915-015-0065-9.
An Adjoint Approach for Stabilizing the Parareal MethodComptes rendus des séances de l'Académie des Sciences. Série A, Sciences mathématiques**. 2015.
Special Issue on "Fractional PDEs: Theory, Numerics, and Applications"Journal Of Computational Physics. 2015. DOI : 10.1016/j.jcp.2015.04.007.
Comparison of Clenshaw-Curtis and Leja Quasi-Optimal Sparse Grids for the Approximation of Random PDEs2015. International Conference on Spectral and High-Order Methods 2014 (ICOSAHOM'14), Salt Lake City, June 23-27, 2014. p. 475-482. DOI : 10.1007/978-3-319-19800-2_44.
Enseignement & Phd