Bruno Despres, email

  • Professor at the Jacques-Louis Lions Laboratory (and IUF 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.

  • Recent book with colleagues on "Transport et Diffusion".         Recent book on "Neural Networks and Numerical Analysis": a free version with corrections is available on demand.
    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
  • Notes for a Master 2 course on plasmas here

    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, ...)
  • Machine Learning design of Volume of Fluid schemes for compressible flows, with H. Jourdren, HAL 2020, published in JCP
  • A convergent deep learning algorithm for approximation of polynomials, HAL 2022
  • Numerical methods/scientific computing
  • Mathematical modeling in applied physics, with emphasis on plasma and fusion plasma

  • M2, cours de base B004
    le site du cours ici , le poly ici , et aussi le le poly plus complet.
    Textes 29/09/2023): texte TP2 , ici , ici , ici , ici . proposition de corection Examen .