119961 20230914083712.0 doi 10.1186/s40323-022-00234-8 sideral 130667 ART-2022-130667 eng Chinesta, Francisco Empowering engineering with data, machine learning and artificial intelligence: a short introductive review 2022 Access copy available to the general public Unrestricted Simulation-based engineering has been a major protagonist of the technology of the last century. However, models based on well established physics fail sometimes to describe the observed reality. They often exhibit noticeable differences between physics-based model predictions and measurements. This difference is due to several reasons: practical (uncertainty and variability of the parameters involved in the models) and epistemic (the models themselves are in many cases a crude approximation of a rich reality). On the other side, approaching the reality from experimental data represents a valuable approach because of its generality. However, this approach embraces many difficulties: model and experimental variability; the need of a large number of measurements to accurately represent rich solutions (extremely nonlinear or fluctuating), the associate cost and technical difficulties to perform them; and finally, the difficulty to explain and certify, both constituting key aspects in most engineering applications. This work overviews some of the most remarkable progress in the field in recent years. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 0.656 2022 Engineering (miscellaneous) 2022 Q1 Modeling and Simulation 2022 Q2 Applied Mathematics 2022 Q2 Computer Science Applications 2022 Q2 4.5 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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. 9 (2022), 1-24 Adv. model. simul. eng. sci. Advanced modeling and simulation in engineering sciences 2213-7467 395872 http://zaguan.unizar.es/record/119961/files/texto_completo.pdf Versión publicada 2110067 http://zaguan.unizar.es/record/119961/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:119961 articulos driver 2023-09-13-14:35:49 ARTICLE