000075375 001__ 75375
000075375 005__ 20181004100710.0
000075375 0247_ $$2doi$$a10.1063/1.5008201
000075375 0248_ $$2sideral$$a104336
000075375 037__ $$aART-2017-104336
000075375 041__ $$aeng
000075375 100__ $$aIbañez, R.
000075375 245__ $$aA manifold learning approach to data-driven computational materials and processes
000075375 260__ $$c2017
000075375 5060_ $$aAccess copy available to the general public$$fUnrestricted
000075375 5203_ $$aStandard simulation in classical mechanics is based on the use of two very different types of equations. The first one, of axiomatic character, is related to balance laws (momentum, mass, energy, ...), whereas the second one consists of models that scientists have extracted from collected, natural or synthetic data. In this work we propose a new method, able to directly link data to computers in order to perform numerical simulations. These simulations will employ universal laws while minimizing the need of explicit, often phenomenological, models. They are based on manifold learning methodologies.
000075375 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000075375 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000075375 700__ $$aAbisset-Chavanne, E.
000075375 700__ $$aAguado, Jose Vicente
000075375 700__ $$0(orcid)0000-0003-3003-5856$$aGonzalez, David$$uUniversidad de Zaragoza
000075375 700__ $$0(orcid)0000-0003-1017-4381$$aCueto, Elias$$uUniversidad de Zaragoza
000075375 700__ $$aDuval, Jean Louis
000075375 700__ $$aChinesta, Francisco
000075375 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000075375 773__ $$g1896, 1 (2017), 170003 [5 pp.]$$pAIP conf. proc.$$tAIP Conference Proceedings$$x0094-243X
000075375 8564_ $$s1519733$$uhttps://zaguan.unizar.es/record/75375/files/texto_completo.pdf$$yVersión publicada
000075375 8564_ $$s66954$$uhttps://zaguan.unizar.es/record/75375/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000075375 909CO $$ooai:zaguan.unizar.es:75375$$particulos$$pdriver
000075375 951__ $$a2018-10-04-08:07:01
000075375 980__ $$aARTICLE