Implanté sur deux sites, le campus d’Angers et le pôle de réalité virtuelle de Laval, le LAMPA intervient dans les domaines de l’innovation, des procédés avancés de fabrication et de durabilité des matériaux et des structures. Le numérique et le virtuel sont au cœur des travaux de recherche, par exemple la simulation numérique du procédé pour la compréhension des phénomènes thermiques et mécaniques en jeu.
http://lampa.ensam.eu/

Soumissions récentes

  • IBAÑEZ, Ruben; CASTERAN, Fanny; ARGERICH, Clara; GHNATIOS, Chady; HASCOET, Nicolas; AMMAR, Amine; CASSAGNAU, Philippe; CHINESTA, 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 ...
  • TCHA-TOKEY, Katy; SCHMIDT, Colin; GESLIN, Erik; RICHIR, Simon (Association for Computing Machinery, 2020)
    In this paper, we argue in favour of using an immersive Virtual Environment (VE) in order to improve human capabilities. We develop this idea in order to advance the potential of VEs in enhancing humans. Training with VEs ...
  • PEREZ, Marta; SCHEUER, Adrien; ABISSET-CHAVANNE, Emmanuelle; AMMAR, Amine; CHINESTA, Francisco; KEUNINGS, Roland (Springer, 2019)
    When addressing the flow of concentrated suspensions composed of rods, dense clusters are observed. Thus, the adequate modelling and simulation of such a flow requires addressing the kinematics of these dense clusters and ...
  • AMMAR, Amine; CHINESTA, Francisco (ELSEVIER, 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: ...
  • IBÁÑEZ PINILLO, Rubén; AMMAR, Amine; CUETO, Elías G.; HUERTA, Antonio; DUVAL, Jean Louis; CHINESTA, Francisco (Wiley, 2019)
    Solutions of partial differential equations could exhibit a multiscale behavior. Standard discretization techniques are constraints to mesh up to the finest scale to predict accurately the response of the system. The ...
  • REILLE, Agathe; HASCOËT, Nicolas; GHNATIOS, Chady; AMMAR, Amine; CUETO, Elías G.; DUVAL, Jean Louis; CHINESTA, Francisco; KEUNINGS, Roland (ELSEVIER, 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 ...
  • GESLIN, Erik; BARTHEYE, Olivier Olivier; SCHMIDT, Colin; TCHA-TOKEY, Katy; KULSUWAN, Teerawat; KEZIZ, Salah; BELOUIN, Tanguy (Canadian Center of Science and Education, 2020)
    Video games are high emotional vectors. They play with the emotions of players by eliciting and increasing them. The importance of the induction of basic emotions has been a long forestay and is favoured by video game ...

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