000126947 001__ 126947 000126947 005__ 20241125101142.0 000126947 0247_ $$2doi$$a10.1007/s11831-023-09954-5 000126947 0248_ $$2sideral$$a134455 000126947 037__ $$aART-2023-134455 000126947 041__ $$aeng 000126947 100__ $$0(orcid)0000-0003-1017-4381$$aCueto, Elias$$uUniversidad de Zaragoza 000126947 245__ $$aThermodynamics of Learning Physical Phenomena 000126947 260__ $$c2023 000126947 5060_ $$aAccess copy available to the general public$$fUnrestricted 000126947 5203_ $$aThermodynamics could be seen as an expression of physics at a high epistemic level. As such, its potential as an inductive bias to help machine learning procedures attain accurate and credible predictions has been recently realized in many fields. We review how thermodynamics provides helpful insights in the learning process. At the same time, we study the influence of aspects such as the scale at which a given phenomenon is to be described, the choice of relevant variables for this description or the different techniques available for the learning process. 000126947 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T24-20R$$9info:eu-repo/grantAgreement/ES/MICINN-AEI/PID2020-113463RB-C31/AEI/10.13039/501100011033$$9info:eu-repo/grantAgreement/ES/UZ/UZ2019-0060 000126947 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000126947 590__ $$a9.7$$b2023 000126947 592__ $$a1.801$$b2023 000126947 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b6 / 170 = 0.035$$c2023$$dQ1$$eT1 000126947 593__ $$aComputer Science Applications$$c2023$$dQ1 000126947 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b2 / 135 = 0.015$$c2023$$dQ1$$eT1 000126947 593__ $$aApplied Mathematics$$c2023$$dQ1 000126947 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b3 / 181 = 0.017$$c2023$$dQ1$$eT1 000126947 594__ $$a19.8$$b2023 000126947 655_4 $$ainfo:eu-repo/semantics/review$$vinfo:eu-repo/semantics/publishedVersion 000126947 700__ $$aChinesta, Francisco 000126947 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est. 000126947 773__ $$g30, 8 (2023), 4653–4666$$pArch. comput. methods eng.$$tARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING$$x1134-3060 000126947 8564_ $$s1344705$$uhttps://zaguan.unizar.es/record/126947/files/texto_completo.pdf$$yVersión publicada 000126947 8564_ $$s2504864$$uhttps://zaguan.unizar.es/record/126947/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000126947 909CO $$ooai:zaguan.unizar.es:126947$$particulos$$pdriver 000126947 951__ $$a2024-11-22-12:02:54 000126947 980__ $$aARTICLE