Bruno Despres, email

  • Professor at the Jacques-Louis Lions Laboratory et Institut universitaire de France 2016

  • Address: Tower 15-25, third floor, office 17 University PARIS 6, UPMC 4 place Jussieu, Paris IV, 75015, Paris

  • Googlometry, 2020 Google scholar extraction. And CV.

  • Principal fields of interest: they come from the mathematical analysis and numerical solution of Partial Differential Equations.

    Applications come from the mathematical physics (wave equations, compressible fluids) for various problems.
    Specific applications in Plasma Physics (ICF-Inertial Confinement Fusion and MCF-Magnetic Confinement Fusion) are considered.
  • colloquim talk on Scattering theory (Lax, Kato, ...) interpretation of linearized Landau damping: recently given at IAMP

    Long term interests in the construction of new numerical algorithms started in my PhD thesis.
    It materialized recently in 2 directions
  • new approach to polynomials with sign: Recent Results In Positivity Preserving Polynomials here
  • Machine Learning and Scientific Computing: Machine Learning design of Volume of Fluid schemes for compressible flows, with H. Jourdren, HAL 2020, JCP 2020
  • colloquim talk on ML: recently given at LJLL/SU
  • Play with both polynomials and Machine Learning: A functional equation with polynomial solutions and application to Neural Networks, with Matthieu Ancellin HAL 2020

    ANR MUFFIN 2019/2023 here : ITER oriented project
    ANR CHROME 2012/2016 completed : ITER oriented project

    Groupe de travail
  • Stability and boundary interactions for fusion plasmas

  • Recent 2019/2020 papers or preprints

  • Polynomials (positive, with Machine Learning, ...)
  • Numerical methods/scientific computing
  • Mathematical modeling in applied physics for fusion

  • Master M2A: Analyse numerique et Neural Networks
    Le poly (incomplet) est au lien ici .
    Les transparents du 21/01 ont au lien ici .