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8th Spring School Lattice Boltzmann Methods with OpenLB Software Lab

19. - 23. May 2025
The spring school is organized as open workshop in two parallel sessions: Option Advanced and Option Beginners. It promotes the participants and is open for the interested general public. The spring school is organized as a non-profit event in collaboration with ProLB.
This year’s spring school venue is the historic building of the Centre International De Rencontres Mathématique (CIRM).

The field of Lattice Boltzmann Methods

Lattice Boltzmann Methods (LBM) are an established numerical technique for Computational Fluid Dynamics (CFD) and beyond. The simulation of complex multi-physics benefits strongly from the mesoscopic modelling of LBM and positions it next to traditional numerical methods. The rapid development in LBM – also driven by the emergence of massively parallel computing infrastructure – enables engineers to solve relevant problems for academia as well as for industry.
Executive committee

  • Pierre Boivin (M2P2/CNRS),
  • Julien Favier (M2P2/AMU),
  • Denis Ricot (CS group),
  • Shota Ito (LBRG/KIT),
  • Mathias J. Krause (LBRG/KIT),
  • Stephan Simonis (LBRG/KIT)


Host organization: M2P2 - Aix Marseille Université, CNRS, Centrale Méditerranée

More information: Email: springschool@openlb.net
Speakers (preliminary)
A. Revell (University of Manchester), F. Dubois (Université Paris-Sud), T. Krüger, H. Kusumaatmaja (University of Edinburgh), T. Reis (University of Greenwich), G. Silva (University of Évora), T.N. Bingert, F. Bukreev, S. Ito, M.J. Krause, A. Kummerländer, S. Simonis, D. Teutscher (LBRG/KIT), P. Boivin (M2P2/CNRS), J. Favier (M2P2/AMU), D. Ricot (CS Group)

Objective of the spring school

The spring school introduces researchers and users from industry to the theory of LBM and trains them on practical problems. Option B: The first half of the week is dedicated to theoretical fundamentals up to ongoing research on selected topics in kinetic theory, scientific computing, LBM, and Partial Differential Equations (PDE). Followed by mentored training on case studies using OpenLB in the second half of the week. Emphasis is placed on the modelling and simulation of particulate, multi-component, and turbulent fluid flows. Option A: Advanced OpenLB users and developers are enabled to solve their own application problems and implement their own solution approaches.
This educational concept is probably unique in the LBM community and offers a comprehensive and personal guided approach to LBM. Participants also benefit from the knowledge exchange during the poster session, coffee breaks and an excursion.

More details in the attached file

Open Workshop flyer