000089919 001__ 89919
000089919 005__ 20210902121812.0
000089919 0247_ $$2doi$$a10.3390/ma13102335
000089919 0248_ $$2sideral$$a118172
000089919 037__ $$aART-2020-118172
000089919 041__ $$aeng
000089919 100__ $$aYun, M.
000089919 245__ $$aNonlinear regression operating on microstructures described from topological data analysis for the real-time prediction of effective properties
000089919 260__ $$c2020
000089919 5060_ $$aAccess copy available to the general public$$fUnrestricted
000089919 5203_ $$aReal-time decision making needs evaluating quantities of interest (QoI) in almost real time. When these QoI are related to models based on physics, the use ofModel Order Reduction techniques allows speeding-up calculations, enabling fast and accurate evaluations. To accommodate real-time constraints, a valuable route consists of computing parametric solutions-the so-called computational vademecums-that constructed off-line, can be inspected on-line. However, when dealing with shapes and topologies (complex or rich microstructures) their parametric description constitutes a major difficulty. In this paper, we propose using Topological Data Analysis for describing those rich topologies and morphologies in a concise way, and then using the associated topological descriptions for generating accurate supervised classification and nonlinear regression, enabling an almost real-time evaluation of QoI and the associated decision making.
000089919 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000089919 590__ $$a3.623$$b2020
000089919 591__ $$aMETALLURGY & METALLURGICAL ENGINEERING$$b17 / 80 = 0.213$$c2020$$dQ1$$eT1
000089919 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b152 / 333 = 0.456$$c2020$$dQ2$$eT2
000089919 591__ $$aPHYSICS, CONDENSED MATTER$$b27 / 69 = 0.391$$c2020$$dQ2$$eT2
000089919 591__ $$aPHYSICS, APPLIED$$b51 / 160 = 0.319$$c2020$$dQ2$$eT1
000089919 591__ $$aCHEMISTRY, PHYSICAL$$b79 / 162 = 0.488$$c2020$$dQ2$$eT2
000089919 592__ $$a0.682$$b2020
000089919 593__ $$aMaterials Science (miscellaneous)$$c2020$$dQ2
000089919 593__ $$aCondensed Matter Physics$$c2020$$dQ2
000089919 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000089919 700__ $$aArgerich, C.
000089919 700__ $$0(orcid)0000-0003-1017-4381$$aCueto, E.$$uUniversidad de Zaragoza
000089919 700__ $$aDuval, J.L.
000089919 700__ $$aChinesta, F.
000089919 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000089919 773__ $$g13, 10 (2020), 2335$$pMATERIALS$$tMATERIALS$$x1996-1944
000089919 8564_ $$s452422$$uhttps://zaguan.unizar.es/record/89919/files/texto_completo.pdf$$yVersión publicada
000089919 8564_ $$s470887$$uhttps://zaguan.unizar.es/record/89919/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000089919 909CO $$ooai:zaguan.unizar.es:89919$$particulos$$pdriver
000089919 951__ $$a2021-09-02-10:02:01
000089919 980__ $$aARTICLE