Book of abstracts - 14th WCCM & ECCOMAS Congress 2020
Ouvrage scientifique
Auteur
CHINESTA SORIA, FranciscoABGRALL, RémiALLIX, OlivierNÉRON, DavidKALISKE, MichaelRésumé
No abstract
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Manifold learning for coherent design interpolation based on geometrical and topological descriptors Article dans une revue avec comité de lectureMUNOZ, David; ALLIX, Olivier; CHINESTA SORIA, Francisco; RÓDENAS, Juan José (2023)
In the context of intellectual property in the manufacturing industry, know-how is referred to practical knowledge on how to accomplish a specific task. This know-how is often difficult to be synthesised in a set of rules ...
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Article dans une revue avec comité de lecture; ; ; ; ; ;CHINESTA SORIA, 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 ...
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Article dans une revue avec comité de lecture; ; ; ; ; ;CHINESTA SORIA, 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 ...
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Article dans une revue avec comité de lecture; ; ; ; ; ; ; ;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 ...
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Article dans une revue avec comité de lecture; ; ;CHINESTA SORIA, Francisco; (2023)
Physics perception very often faces the problem that only limited data or partial measurements on the scene are available. In this work, we propose a strategy to learn the full state of sloshing liquids from measurements ...
