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Constraint-Aware Neural Networks for Riemann Problems

Constraint-Aware Neural Networks for Riemann Problems

29 April 2019
Jim Magiera
Deep Ray
J. Hesthaven
C. Rohde
    AI4CEPINN
ArXiv (abs)PDFHTML

Papers citing "Constraint-Aware Neural Networks for Riemann Problems"

12 / 12 papers shown
Title
Neural network-based Godunov corrections for approximate Riemann solvers using bi-fidelity learning
Neural network-based Godunov corrections for approximate Riemann solvers using bi-fidelity learning
Akshay Thakur
Matthew J. Zahr
66
0
0
17 Mar 2025
GoRINNs: Godunov-Riemann Informed Neural Networks for Learning
  Hyperbolic Conservation Laws
GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws
Dimitrios G. Patsatzis
Mario di Bernardo
L. Russo
Constantinos Siettos
AI4CE
50
2
0
29 Oct 2024
Addressing Discontinuous Root-Finding for Subsequent Differentiability
  in Machine Learning, Inverse Problems, and Control
Addressing Discontinuous Root-Finding for Subsequent Differentiability in Machine Learning, Inverse Problems, and Control
Dan Johnson
Ronald Fedkiw
AI4CE
51
3
0
21 Jun 2023
A comparison of PINN approaches for drift-diffusion equations on metric
  graphs
A comparison of PINN approaches for drift-diffusion equations on metric graphs
J. Blechschmidt
Jan-Frederik Pietschman
Tom-Christian Riemer
Martin Stoll
M. Winkler
61
2
0
15 May 2022
Physics-informed neural networks for inverse problems in supersonic
  flows
Physics-informed neural networks for inverse problems in supersonic flows
Ameya Dilip Jagtap
Zhiping Mao
Nikolaus Adams
George Karniadakis
PINN
51
225
0
23 Feb 2022
Solution of Physics-based Bayesian Inverse Problems with Deep Generative
  Priors
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors
Dhruv V. Patel
Deep Ray
Assad A. Oberai
AI4CE
72
42
0
06 Jul 2021
A Survey of Constrained Gaussian Process Regression: Approaches and
  Implementation Challenges
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges
L. Swiler
Mamikon A. Gulian
A. Frankel
Cosmin Safta
J. Jakeman
GPAI4CE
110
106
0
16 Jun 2020
Structure-preserving neural networks
Structure-preserving neural networks
Quercus Hernandez
Alberto Badías
D. González
Francisco Chinesta
Elías Cueto
PINN
129
71
0
09 Apr 2020
Tensor Basis Gaussian Process Models of Hyperelastic Materials
Tensor Basis Gaussian Process Models of Hyperelastic Materials
A. Frankel
Reese E. Jones
L. Swiler
76
43
0
23 Dec 2019
Enforcing Deterministic Constraints on Generative Adversarial Networks
  for Emulating Physical Systems
Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems
Zeng Yang
Jin-Long Wu
Heng Xiao
AI4CE
71
17
0
15 Nov 2019
Bilevel Optimization, Deep Learning and Fractional Laplacian
  Regularization with Applications in Tomography
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography
Harbir Antil
Z. Di
R. Khatri
58
50
0
22 Jul 2019
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep
  Reinforcement Learning
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning
Yufei Wang
Ziju Shen
Zichao Long
Bin Dong
AI4CEPINN
77
40
0
27 May 2019
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