Related items
Showing items related by title, author, creator and subject.
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Article dans une revue avec comité de lectureThe present work aims at analyzing issues related to the data manifold dimensionality. The interest of the study is twofold: (i) first, when too many measurable variables are considered, manifold learning is expected to ...
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Article dans une revue avec comité de lectureAMORES, Víctor J.; MONTÁNS, Francisco J.;
CUETO, Elias;
CHINESTA SORIA, 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 lectureWe present a method for the data-driven learning of physical phenomena whose evolution in time depends on history terms. It is well known that a Mori-Zwanzig-type projection produces a description of the physical phenomena ...
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Article dans une revue avec comité de lectureREILLE, Agathe; CHAMPANEY, Victor; DAIM, Fatima; TOURBIER, Yves; HASCOET, Nicolas; GONZALEZ, David;
CUETO, Elias; DUVAL, Jean Louis;
CHINESTA SORIA, Francisco (EDP Sciences, 2021)
Solving mechanical problems in large structures with rich localized behaviors remains a challenging issue despite the enormous advances in numerical procedures and computational performance. In particular, these localized ... -
Article dans une revue avec comité de lecture
GHNATIOS, Chady; DELPLACE, Frank; BARASINSKI, Anais; DUVAL, Jean-Louis;
CUETO, Elias;
AMMAR, Amine;
CHINESTA SORIA, Francisco (Wiley, 2020)
Composite manufacturing processes usually proceed from preimpregnated preforms that are consolidated by simultaneously applying heat and pressure, so as to ensure a perfect contact compulsory for making molecular diffusion ...
