136004 20250210083430.0 doi 10.1007/s00466-024-02508-x sideral 138982 ART-2025-138982 eng Muixí, Alba Structure-preserving formulations for data-driven analysis of coupled multi-physics systems 2025 Access copy available to the general public Unrestricted We develop a novel methodology for data-driven simulation of coupled multi-physics systems. The result of the method is a learned numerical integrator of the coupled system dynamics. In order to preserve the fundamental physics of the coupled systems, and thus preserve the geometrical properties of the governing equations—even if they may be completely unknown—we impose a port-metriplectic structure on the system evolution, i.e., a combination of a symplectic evolution for the system energy with a gradient flow for the entropy of each system, which can be exchanged through predefined ports. The resulting method guarantees by construction the satisfaction of the laws of thermodynamics for open systems, leading to accurate predictions of the future states of their dynamics. Examples are given for systems of varying complexity, based on synthetic as well as experimental data. info:eu-repo/grantAgreement/ES/MICINN-AEI/PID2020-113463RB-C31/AEI/10.13039/501100011033 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion González, David Universidad de Zaragoza (orcid)0000-0003-3003-5856 Chinesta, Francisco Cueto, Elías Universidad de Zaragoza (orcid)0000-0003-1017-4381 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 75 (2025), 357–368 Comput. mech. COMPUTATIONAL MECHANICS 0178-7675 1231501 http://zaguan.unizar.es/record/136004/files/texto_completo.pdf Versión publicada 2297371 http://zaguan.unizar.es/record/136004/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:136004 articulos driver 2025-02-10-08:31:29 ARTICLE