000078909 001__ 78909
000078909 005__ 20200108100344.0
000078909 0247_ $$2doi$$a10.1063/1.5034930
000078909 0248_ $$2sideral$$a106474
000078909 037__ $$aART-2018-106474
000078909 041__ $$aeng
000078909 100__ $$aAbisset-Chavanne, E.
000078909 245__ $$aModel and system learners, optimal process constructors and kinetic theory-based goal-oriented design: a new paradigm in materials and processes informatics
000078909 260__ $$c2018
000078909 5060_ $$aAccess copy available to the general public$$fUnrestricted
000078909 5203_ $$aTraditionally, Simulation-Based Engineering Sciences (SBES) has relied on the use of static data inputs (model parameters, initial or boundary conditions, ... obtained from adequate experiments) to perform simulations. A new paradigm in the field of Applied Sciences and Engineering has emerged in the last decade. Dynamic Data-Driven Application Systems [9, 10, 11, 12, 22] allow the linkage of simulation tools with measurement devices for real-time control of simulations and applications, entailing the ability to dynamically incorporate additional data into an executing application, and in reverse, the ability of an application to dynamically steer the measurement process. It is in that context that traditional "digital-twins" are giving raise to a new generation of goal-oriented data-driven application systems, also known as "hybrid-twins", embracing models based on physics and models exclusively based on data adequately collected and assimilated for filling the gap between usual model predictions and measurements. Within this framework new methodologies based on model learners, machine learning and kinetic goal-oriented design are defining a new paradigm in materials, processes and systems engineering.
000078909 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000078909 592__ $$a0.182$$b2018
000078909 593__ $$aPhysics and Astronomy (miscellaneous)$$c2018
000078909 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000078909 700__ $$aDuval, J.L.
000078909 700__ $$0(orcid)0000-0003-1017-4381$$aCueto, E.$$uUniversidad de Zaragoza
000078909 700__ $$aChinesta, F.
000078909 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000078909 773__ $$g1960 (2018), 090004 [6 pp.]$$pAIP conf. proc.$$tAIP Conference Proceedings$$x0094-243X
000078909 8564_ $$s89745$$uhttps://zaguan.unizar.es/record/78909/files/texto_completo.pdf$$yVersión publicada
000078909 8564_ $$s55416$$uhttps://zaguan.unizar.es/record/78909/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000078909 909CO $$ooai:zaguan.unizar.es:78909$$particulos$$pdriver
000078909 951__ $$a2020-01-08-09:29:09
000078909 980__ $$aARTICLE