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Port-metriplectic neural networks: thermodynamics-informed machine
  learning of complex physical systems
v1v2v3 (latest)

Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems

Computational Mechanics (Comput. Mech.), 2022
3 November 2022
Quercus Hernandez
Alberto Badías
Francisco Chinesta
Elías Cueto
    PINNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems"

6 / 6 papers shown
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning
Xuyang Li
Romit Maulik
427
0
0
21 Feb 2025
Physics informed cell representations for variational formulation of
  multiscale problems
Physics informed cell representations for variational formulation of multiscale problems
Yuxiang Gao
Soheil Kolouri
R. Duddu
AI4CE
201
1
0
27 May 2024
Graph neural networks informed locally by thermodynamics
Graph neural networks informed locally by thermodynamics
Alicia Tierz
Ic´ıar Alfaro
David González
Francisco Chinesta
Elías Cueto
AI4CEPINN
364
0
0
21 May 2024
Pseudo-Hamiltonian neural networks for learning partial differential
  equations
Pseudo-Hamiltonian neural networks for learning partial differential equationsJournal of Computational Physics (JCP), 2023
Sølve Eidnes
K. Lye
366
13
0
27 Apr 2023
Approximation of nearly-periodic symplectic maps via
  structure-preserving neural networks
Approximation of nearly-periodic symplectic maps via structure-preserving neural networksScientific Reports (Sci Rep), 2022
Valentin Duruisseaux
J. Burby
Q. Tang
275
14
0
11 Oct 2022
Thermodynamics of learning physical phenomena
Thermodynamics of learning physical phenomenaArchives of Computational Methods in Engineering (ACME), 2022
Elías Cueto
Francisco Chinesta
AI4CE
321
29
0
26 Jul 2022
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