Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA): Recent submissions

Now showing items 1-7 of 357

    • On the data-driven modeling of reactive extrusion 
      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 ...
    • Improving Humans: Enhancing the complex sociological being with the virtual 
      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 ...
    • On the multi-scale description of micro-structured fluids composed of aggregating rods 
      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 ...
    • Direct numerical simulation of flexible molecules and data-driven molecular conformation 
      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: ...
    • Multiscale proper generalized decomposition based on the partition of unity 
      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 ...
    • Incremental dynamic mode decomposition: A reduced-model learner operating at the low-data limit 
      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 ...
    • Bernardo Autonomous Emotional Agents Increase Perception of VR Stimuli 
      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 ...