Complex Algorithms for Data-Driven Model Learning in Science and Engineering
Article dans une revue avec comité de lecture
In their first centuries, scientific and engineering develop-ments were dominated by empirical understanding which encapsulated the first paradigm of scientific discovery. After the Renaissance, the scientific revolution and the develop-ment of calculus led to a new scientific viewpoint wherebyphysical principles, laws of nature, and engineering models were established by proposing new theoretical constructs thatcould be verified through specific experiments. This was thesecond paradigm of scientific discovery. More recently, thecomputational era, or the third paradigm of discovery, has allowed us to solve complex and nonlinear scientific and engi-neering problems that were beyond our analytically tractable methodologies. Today, there is a new fourth paradigm ofdiscovery, which is a data-driven science and engineering framework whereby complex models and physical laws are directly inferred from data.
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Article dans une revue avec comité de lectureMONTÁNS, Francisco J.; CHINESTA, Francisco; GÓMEZ-BOMBARELLI, Rafael; KUTZ, J. Nathan (Hindawi Limited, 2019)no abstract
Article dans une revue avec comité de lectureMONTÁNS, Francisco J.; CHINESTA, Francisco; GÓMEZ-BOMBARELLI, Rafael; KUTZ, J. Nathan (Elsevier Masson, 2019)In the past, data in which science and engineering is based, was scarce and frequently obtained by experiments proposed to verify a given hypothesis. Each experiment was able to yield only very limited data. Today, data ...
Crossing Scales: Data-Driven Determination of the Micro-scale Behavior of Polymers From Non-homogeneous Tests at the Continuum-Scale Article dans une revue avec comité de lectureAMORES, Víctor J.; MONTÁNS, Francisco J.; CUETO, Elías; CHINESTA, Francisco (Frontiers Media SA, 2022-05)We propose an efficient method to determine the micro-structural entropic behavior of polymer chains directly from a sufficiently rich non-homogeneous experiment at the continuum scale. The procedure is developed in 2 ...
Article dans une revue avec comité de lectureLAUZERAL, Nathan; BORZACCHIELLO, Domenico; KUGLER, Michaël; GEORGE, Daniel; RÉMOND, Yves; HOSTETTLER, Alexandre; CHINESTA, Francisco (Taylor & Francis, 2019)The main objective of this study is to combine the statistical shape analysis with a morphing procedure in order to generate shape-parametric finite element models of tissues and organs and to explore the reliability and ...
A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications. Article dans une revue avec comité de lectureLAUZERAL, Nathan; BORZACCHIELLO, Domenico; KUGLER, Michael; RÉMOND, Yves; GEORGE, Daniel; HOSTETTLER, Alexandre; CHINESTA, Francisco (Elsevier, 2019)Background and objective: This paper focuses on computer simulation aspects of Digital Twin models in the medical framework. In particular, it addresses the need of fast and accurate simulators for the mechanical response ...