Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA): Soumissions récentes
Voici les éléments 155-161 de 522
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Article dans une revue avec comité de lecture; ; ; ; ;
GHNATIOS, Chady; AMMAR, Amine; CHINESTA SORIA, Francisco (MDPI, 2020)
This paper analyzes the ability of different machine learning techniques, able to operate in the low-data limit, for constructing the model linking material and process parameters with the properties and performances of ... -
Article dans une revue avec comité de lectureAMMAR, Amine; CHINESTA SORIA, Francisco (Elsevier Masson, 2019)
The present work aims at performing a molecular dynamics modeling of suspensions composed of flexible linear molecules. Molecules are represented by a series of connected beads, whose dynamics is governed by three potentials: ...
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Article dans une revue avec comité de lectureCHAMPMARTIN, Stephane; ; (Elsevier, 2019)
This paper concerns the hydrodynamic interactions on a cylindrical particle in non-dilute regime at low Reynolds numbers. The particle moves between two parallel walls with its axis parallel to the boundaries. A numerical ...
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Conférence invitée(2017)Domain names are digital tools that make it easy to locate on the Internet. Only, speculation and gain applause have prompted the registries managing the first-level extensions to liberalize hierarchical levels. So, while ...
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Article dans une revue avec comité de lecture; ; ; ; ;GHNATIOS, Chady; AMMAR, Amine; CHINESTA SORIA, Francisco (Elsevier Masson, 2019)
The present work aims at proposing a new methodology for learning reduced models from a small amount of data. It is based on the fact that discrete models, or their transfer function counterparts, have a low rank and then ...
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Rapport de recherchePESSARD, Etienne (2020)
Les travaux de recherche présentés dans ce mémoire se concentrent sur la prise en compte de l’effet du procédé sur la tenue en fatigue à grand nombre de cycles des matériaux métalliques (entre 10⁵ et 10⁷ cycles). Ces travaux ...
