000135168 001__ 135168
000135168 005__ 20240731103422.0
000135168 0247_ $$2doi$$a10.1007/s11831-023-10033-y
000135168 0248_ $$2sideral$$a138573
000135168 037__ $$aART-2023-138573
000135168 041__ $$aeng
000135168 100__ $$0(orcid)0000-0001-5483-6012$$aMoya, Beatriz$$uUniversidad de Zaragoza
000135168 245__ $$aComputational Sensing, Understanding, and Reasoning: An Artificial Intelligence Approach to Physics-Informed World Modeling
000135168 260__ $$c2023
000135168 5060_ $$aAccess copy available to the general public$$fUnrestricted
000135168 5203_ $$aThis work offers a discussion on how computational mechanics and physics-informed machine learning can be integrated into the process of sensing, understanding, and reasoning of physical phenomena. A foundation in physics can leverage interpretability, data efficiency, and generalization of the models sought for the dynamics of complex physical systems. Consequently, this synergy results in promising approaches to develop world models that are capable of performing accurate and reliable simulations (reasoning) in low-data regimes. Among the possible alternative formulations, we highlight how thermodynamics offers a general framework to construct inductive biases, demonstrating its potential in applications where physics-consistent predictions are essential.
000135168 536__ $$9info:eu-repo/grantAgreement/EUR/MICINN/TED2021- 130105B-I00
000135168 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000135168 590__ $$a9.7$$b2023
000135168 592__ $$a1.801$$b2023
000135168 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b6 / 169 = 0.036$$c2023$$dQ1$$eT1
000135168 593__ $$aComputer Science Applications$$c2023$$dQ1
000135168 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b2 / 135 = 0.015$$c2023$$dQ1$$eT1
000135168 593__ $$aApplied Mathematics$$c2023$$dQ1
000135168 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b3 / 179 = 0.017$$c2023$$dQ1$$eT1
000135168 594__ $$a19.8$$b2023
000135168 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000135168 700__ $$0(orcid)0000-0001-7639-6767$$aBadías, Alberto
000135168 700__ $$0(orcid)0000-0003-3003-5856$$aGonzález, David$$uUniversidad de Zaragoza
000135168 700__ $$aChinesta, Francisco
000135168 700__ $$0(orcid)0000-0003-1017-4381$$aCueto, Elias$$uUniversidad de Zaragoza
000135168 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000135168 773__ $$g31, 4 (2023), 1897-1914$$pArch. comput. methods eng.$$tARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING$$x1134-3060
000135168 8564_ $$s802034$$uhttps://zaguan.unizar.es/record/135168/files/texto_completo.pdf$$yPostprint
000135168 8564_ $$s1225604$$uhttps://zaguan.unizar.es/record/135168/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000135168 909CO $$ooai:zaguan.unizar.es:135168$$particulos$$pdriver
000135168 951__ $$a2024-07-31-10:10:02
000135168 980__ $$aARTICLE