Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism von Wang, Qian, Ripamonti, Nicolò, Hesthaven, Jan S.

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Flowfield Reconstruction Method Using Artificial Neural Network von Yu, Jian, Hesthaven, Jan S

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Localized model order reduction and domain decomposition methods for coupled heterogeneous systems von Discacciati, Niccolò, Hesthaven, Jan S.

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Certified Reduced Basis Methods for Parametrized Partial Differential Equations von Hesthaven, Jan S, Rozza, Gianluigi, Stamm, Benjamin

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Fast Prediction and Evaluation of Gravitational Waveforms Using Surrogate Models von Field, Scott E., Galley, Chad R., Hesthaven, Jan S., Kaye, Jason, Tiglio, Manuel

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Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem von Wang, Qian, Hesthaven, Jan S., Ray, Deep

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Time domain room acoustic simulations using the spectral element method von Pind, Finnur, Engsig-Karup, Allan P, Jeong, Cheol-Ho, Hesthaven, Jan S, Mejling, Mikael S, Strømann-Andersen, Jakob

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Reduced order modeling for nonlinear structural analysis using Gaussian process regression von Guo, Mengwu, Hesthaven, Jan S.

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Data-driven reduced order modeling for time-dependent problems von Guo, Mengwu, Hesthaven, Jan S.

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Fast screening of covariates in population models empowered by machine learning von Sibieude, Emeric, Khandelwal, Akash, Hesthaven, Jan S., Girard, Pascal, Terranova, Nadia

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Population pharmacokinetic model selection assisted by machine learning von Sibieude, Emeric, Khandelwal, Akash, Girard, Pascal, Hesthaven, Jan S., Terranova, Nadia

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An artificial neural network as a troubled-cell indicator von Ray, Deep, Hesthaven, Jan S.

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Reduced basis catalogs for gravitational wave templates von Field, Scott E, Galley, Chad R, Herrmann, Frank, Hesthaven, Jan S, Ochsner, Evan, Tiglio, Manuel

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Physics-informed machine learning for reduced-order modeling of nonlinear problems von Chen, Wenqian, Wang, Qian, Hesthaven, Jan S., Zhang, Chuhua

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Reduced basis methods for time-dependent problems von Hesthaven, Jan S., Pagliantini, Cecilia, Rozza, Gianluigi

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Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities von Guo, Mengwu, Manzoni, Andrea, Amendt, Maurice, Conti, Paolo, Hesthaven, Jan S.

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Detecting troubled-cells on two-dimensional unstructured grids using a neural network von Ray, Deep, Hesthaven, Jan S.

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Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health Monitoring von Bigoni, Caterina, Hesthaven, Jan S.

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A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems von Kast, Mariella, Guo, Mengwu, Hesthaven, Jan S.

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Systematic sensor placement for structural anomaly detection in the absence of damaged states von Bigoni, Caterina, Zhang, Zhenying, Hesthaven, Jan S.

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