SAM: Recent submissions

Now showing items 1065-1071 of 6535

    • Data-driven modeling of the chaotic thermal convection in an annular thermosyphon 
      Article dans une revue avec comité de lecture
      ccLOISEAU, Jean-Christophe (Springer Science and Business Media LLC, 2020-07)
      Identifying accurate and yet interpretable low-order models from data has gained renewed interest over the past decade. In the present work, we illustrate how the combined use of dimensionality reduction and sparse system ...
    • System Identification of Two-Dimensional Transonic Buffet 
      Article dans une revue avec comité de lecture
      SANSICA, Andrea; KANAMORI, Masashi; HASHIMOTO, Atsushi; ccLOISEAU, Jean-Christophe; ccROBINET, Jean-Christophe (American Institute of Aeronautics and Astronautics (AIAA), 2022-02)
      When modeled within the unsteady Reynolds-Averaged Navier-Stokes framework, the shock-wave dynamics on a two-dimensional aerofoil at transonic buffet conditions is char- acterized by time-periodic oscillations. Given the ...
    • From the POD-Galerkin method to sparse manifold models 
      Chapitre d'ouvrage scientifique
      BRUNTON, Steven; NOACK, Bernd; ccLOISEAU, Jean-Christophe (De Gruyter, 2021-06)
      Reduced-order models are essential for the accurate and efficient prediction, estimation, and control of complex systems. This is especially true in fluid dynamics, where the fully resolved state space may easily contain ...
    • PySINDy: A comprehensive Python package for robust sparse system identification 
      Article dans une revue avec comité de lecture
      KAPTANOGLU, Alan; DE SILVA, Brian; FASEL, Urban; KAHEMAN, Kadierdan; GOLDSCHMIDT, Andy; CALLAHAM, Jared; DELAHUNT, Charles; NICOLAOU, Zachary; CHAMPION, Kathleen; KUTZ, J.; BRUNTON, Steven; ccLOISEAU, Jean-Christophe (The Open Journal, 2022-01)
      Automated data-driven modeling, the process of directly discovering the governing equations of a system from data, is increasingly being used across the scientific community. PySINDy is a Python package that provides tools ...
    • Phase transition and twinning in polycrystals probed by in situ high temperature 3D reciprocal space mapping 
      Article dans une revue avec comité de lecture
      PURUSHOTTAM RAJ PUROHIT, Ravi Raj Purohit; FOWAN, Daniel Pepin; THUNE, Elsa; ARNAUD, Stephan; CHAHINE, Gilbert; BLANC, Nils; GUINEBRETIÈRE, René; ccCASTELNAU, Olivier (AIP Publishing LLC, 2022-10)
      Polycrystalline materials exhibit physical properties that are driven by both the interatomic crystallographic structure as well as the nature and density of structural defects. Crystallographic evolutions driven by phase ...
    • Development of Temperature-Controlled Shear Tests to Reproduce White-Etching-Layer Formation in Pearlitic Rail Steel 
      Article dans une revue avec comité de lecture
      ccTHIERCELIN, Leo; CAZOTTES, Sophie; SAULOT, Aurélien; LEBON, Frédéric; MERCIER, Florian; LE BOURLOT, Christophe; DANCETTE, Sylvain; FABRÈGUE, Damien (MDPI, 2022-09)
      The formation of a white etching layer (WEL), a very hard and brittle phase on the rail surface, is associated with a progressive transformation of the pearlitic grain to very fragmented grains due to the cumulative passage ...
    • Mechanical white etching layer formation kinetics in pearlitic steels: A phenomenological model based on microstructural characterization 
      Article dans une revue avec comité de lecture
      ccTHIERCELIN, Leo; CAZOTTES, Sophie; MERINO, Pierrick; SAULOT, Aurélien; LEBON, Frédéric (ELSEVIER, 2023-02)
      In order to predict the lifetime of railtrack components, numerical models are required to better describe the apparition of microstructural defects that lead to material failure. In pearlitic steels, the severe mechanical ...