135168 20241125101203.0 doi 10.1007/s11831-023-10033-y sideral 138573 ART-2023-138573 eng Moya, Beatriz Universidad de Zaragoza (orcid)0000-0001-5483-6012 Computational Sensing, Understanding, and Reasoning: An Artificial Intelligence Approach to Physics-Informed World Modeling 2023 Access copy available to the general public Unrestricted This 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. info:eu-repo/grantAgreement/EUR/MICINN/TED2021- 130105B-I00 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 9.7 2023 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 6 / 170 = 0.035 2023 Q1 T1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 2 / 135 = 0.015 2023 Q1 T1 ENGINEERING, MULTIDISCIPLINARY 3 / 181 = 0.017 2023 Q1 T1 1.801 2023 Computer Science Applications 2023 Q1 Applied Mathematics 2023 Q1 19.8 2023 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Badías, Alberto (orcid)0000-0001-7639-6767 González, David Universidad de Zaragoza (orcid)0000-0003-3003-5856 Chinesta, Francisco Cueto, Elias Universidad de Zaragoza (orcid)0000-0003-1017-4381 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 31, 4 (2023), 1897-1914 Arch. comput. methods eng. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING 1134-3060 802034 http://zaguan.unizar.es/record/135168/files/texto_completo.pdf Postprint 1225604 http://zaguan.unizar.es/record/135168/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:135168 articulos driver 2024-11-22-12:12:52 ARTICLE