Thermodynamics of learning physical phenomena

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Thermodynamics of learning physical phenomena

Archives of Computational Methods in Engineering (ACME), 2022

26 July 2022

Francisco Chinesta

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Papers citing "Thermodynamics of learning physical phenomena"

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Title
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems Victor Matray Faisal Amlani Frédéric Feyel David Néron AI4CE 232 12 0 03 Jun 2024
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media Matthaios Chatzopoulos P. Koutsourelakis AI4CE 200 4 0 29 May 2024
A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks Pau Urdeitx Ic´ıar Alfaro David González Francisco Chinesta Elías Cueto AI4CE 182 3 0 01 Apr 2024
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal VariablesMathematics and mechanics of solids (MMS), 2023 Javier Orera-Echeverria J. Ayensa-Jiménez Manuel Doblaré 150 3 0 07 Aug 2023
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systemsComputational Mechanics (Comput. Mech.), 2022 Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto PINN AI4CE 261 18 0 03 Nov 2022