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SympNets: Intrinsic structure-preserving symplectic networks for
  identifying Hamiltonian systems

SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems

11 January 2020
Pengzhan Jin
Zhen Zhang
Aiqing Zhu
Yifa Tang
George Karniadakis
ArXivPDFHTML

Papers citing "SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems"

13 / 13 papers shown
Title
Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems
  across Domains
Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
Razmik Arman Khosrovian
Takaharu Yaguchi
Hiroaki Yoshimura
Takashi Matsubara
AI4CE
22
0
0
15 Oct 2024
FINDE: Neural Differential Equations for Finding and Preserving
  Invariant Quantities
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
Takashi Matsubara
Takaharu Yaguchi
PINN
14
7
0
01 Oct 2022
Which priors matter? Benchmarking models for learning latent dynamics
Which priors matter? Benchmarking models for learning latent dynamics
Aleksandar Botev
Andrew Jaegle
Peter Wirnsberger
Daniel Hennes
I. Higgins
AI4CE
16
28
0
09 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical
  Systems
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Christian Møldrup Legaard
Thomas Schranz
G. Schweiger
Ján Drgovna
Basak Falay
C. Gomes
Alexandros Iosifidis
M. Abkar
P. Larsen
PINN
AI4CE
28
93
0
02 Nov 2021
Physics perception in sloshing scenes with guaranteed thermodynamic
  consistency
Physics perception in sloshing scenes with guaranteed thermodynamic consistency
B. Moya
Alberto Badías
D. González
Francisco Chinesta
Elías Cueto
17
14
0
24 Jun 2021
Nonseparable Symplectic Neural Networks
Nonseparable Symplectic Neural Networks
S. Xiong
Yunjin Tong
Xingzhe He
Shuqi Yang
Cheng Yang
Bo Zhu
11
32
0
23 Oct 2020
Learning Thermodynamically Stable and Galilean Invariant Partial
  Differential Equations for Non-equilibrium Flows
Learning Thermodynamically Stable and Galilean Invariant Partial Differential Equations for Non-equilibrium Flows
Juntao Huang
Zhiting Ma
Y. Zhou
W. Yong
AI4CE
25
16
0
28 Sep 2020
Discovery of Governing Equations with Recursive Deep Neural Networks
Discovery of Governing Equations with Recursive Deep Neural Networks
Jia Zhao
Jarrod Mau
PINN
17
6
0
24 Sep 2020
OnsagerNet: Learning Stable and Interpretable Dynamics using a
  Generalized Onsager Principle
OnsagerNet: Learning Stable and Interpretable Dynamics using a Generalized Onsager Principle
Haijun Yu
Xinyuan Tian
Weinan E
Qianxiao Li
AI4CE
12
42
0
06 Sep 2020
Learning Physical Constraints with Neural Projections
Learning Physical Constraints with Neural Projections
Shuqi Yang
Xingzhe He
Bo Zhu
3DV
AI4CE
20
25
0
23 Jun 2020
Neural Vortex Method: from Finite Lagrangian Particles to Infinite
  Dimensional Eulerian Dynamics
Neural Vortex Method: from Finite Lagrangian Particles to Infinite Dimensional Eulerian Dynamics
S. Xiong
Xingzhe He
Yunjin Tong
Yitong Deng
Bo Zhu
14
11
0
07 Jun 2020
Structure-preserving neural networks
Structure-preserving neural networks
Quercus Hernandez
Alberto Badías
D. González
Francisco Chinesta
Elías Cueto
PINN
9
69
0
09 Apr 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
146
219
0
29 Sep 2019
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