Jan S Hesthaven
École Polytechnique Fédérale de Lausanne
H-index: 67
Europe-Switzerland
Top articles of Jan S Hesthaven
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reduction | arXiv preprint arXiv:2404.18841 | Nicola Rares Franco Andrea Manzoni Paolo Zunino Jan S Hesthaven | 2024/4/29 |
Machine-Learning-Enhanced Real-Time Aerodynamic Forces Prediction Based on Sparse Pressure Sensor Inputs | AIAA Journal | Junming Duan Qian Wang Jan S Hesthaven | 2024/3 |
Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps | Computer Methods in Applied Mechanics and Engineering | Niccolò Discacciati Jan S Hesthaven | 2024/2/15 |
Perfectly matched layers for the Boltzmann equation: stability and sensitivity analysis | Available at SSRN 4668130 | Marco Sutti Jan S Hesthaven | 2023/12/6 |
Non-intrusive data-driven reduced-order modeling for time-dependent parametrized problems | Journal of Computational Physics | Junming Duan Jan S Hesthaven | 2024/1/15 |
Positional Embeddings for Solving PDEs with Evolutional Deep Neural Networks | Journal of Computational Physics | Mariella Kast Jan S Hesthaven | 2024/4/8 |
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs | Journal of Computational Physics | Federico Pichi Beatriz Moya Jan S Hesthaven | 2024/3/15 |
Adaptive symplectic model order reduction of parametric particle-based Vlasov–Poisson equation | Mathematics of Computation | Jan S. Hesthaven Cecilia Pagliantini Nicolò Ripamonti | 2023 |
Fast Numerical Approximation of Parabolic Problems Using Model Order Reduction and the Laplace Transform | arXiv preprint arXiv:2403.02847 | Fernando Henríquez Jan S Hesthaven | 2024/3/5 |
Preface to the Focused Issue on WENO Schemes | Communications on Applied Mathematics and Computation | Sigal Gottlieb Jan S Hesthaven Jianxian Qiu Chi-Wang Shu Qiang Zhang | 2023/3 |
Monitoring of water table level and volume of water in a porous storage by seismic data | T Lähivaara P Göransson S Heinonen B Bojan JS Hesthaven | 2023/9/3 | |
Localized model order reduction and domain decomposition methods for coupled heterogeneous systems | International Journal for Numerical Methods in Engineering | Niccolò Discacciati Jan S Hesthaven | 2023/9/30 |
Reduced basis methods with parameterized boundary conditions for room acoustics | INTER-NOISE and NOISE-CON Congress and Conference Proceedings | Hermes Sampedro Llopis Allan P Engsig-Karup Cheol Ho Jeong Finnur Pind Jan S Hesthaven | 2023/2/1 |
A new variable shape parameter strategy for RBF approximation using neural networks | Computers & Mathematics with Applications | Fatemeh Nassajian Mojarrad Maria Han Veiga Jan S Hesthaven Philipp Öffner | 2023/8/1 |
Multi-fidelity surrogate modeling using long short-term memory networks | Computer methods in applied mechanics and engineering | Paolo Conti Mengwu Guo Andrea Manzoni Jan S Hesthaven | 2023/2/1 |
A 3D Simulation Study for Monitoring Water Content in a Porous Storage | M Khalili P Göransson JS Hesthaven A Pasanen M Vauhkonen | 2023/6/5 | |
GWSurrogate: Gravitational wave surrogate models | Astrophysics Source Code Library | Scott E Field Chad R Galley Jan S Hesthaven Jason Kaye Manuel Tiglio | 2023/5 |
Asymptotic models of the diffusion MRI signal accounting for geometrical deformations | MathematicS In Action | Zheyi Yang Imen Mekkaoui Jan Hesthaven Jing-Rebecca Li | 2023 |
Seismic monitoring of water volume in a porous storage: A field-data study | arXiv preprint arXiv:2312.14605 | Mahnaz Khalili Bojan Brodic Peter Göransson Suvi Heinonen Jan S Hesthaven | 2023/12/22 |
An artificial neural network approach to bifurcating phenomena in computational fluid dynamics | Computers & Fluids | Federico Pichi Francesco Ballarin Gianluigi Rozza Jan S Hesthaven | 2023/3/30 |
Co-Authors
