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Spring School 2023

6th Spring School

Lattice Boltzmann Methods
with OpenLB Software Lab

5. – 9. June 2023

Greenwich, England, United Kingdom

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Executive committee

  • Nicolas Hafen, Karlsruhe Institute of Technology, Germany
  • Mathias J. Krause, Karlsruhe Institute of Technology, Germany
  • Shota Ito, Karlsruhe Institute of Technology, Germany
  • Timothy Reis, University of Greenwich, United Kingdom
  • Choi-Hong Lai, University of Greenwich, United Kingdom
  • Tao Gao, University of Greenwich, United Kingdom
  • Andrew Kao, University of Greenwich, United Kingdom

The field of Lattice Boltzmann Method

In recent years, Lattice Boltzmann Methods (LBM) turned into an established numerical tool for computational fluid dynamic (CFD) problems and beyond. The simulation of complex multi-physical problems benefits strongly from the comprehensive mesoscopic modelling underlying LBM and establishes LBM besides traditional numerical methods.

Target audience

The expected attendees are developers and researchers, from industry and academia interested to learn theoretical and practical aspects of LBM. The spring school addresses e.g. engineers, computer scientists, mathematicians and physicists as well as Master and PhD students. The course level is beginners in LBM. Based on their interest in CFD, this course provides a collaborative platform for LBM, both for developers and researchers.

Objective of the spring school

The spring school introduces scientists and applicants from industry to the theory of LBM and trains them on practical problems. The first half of the week is dedicated to the theoretical fundamentals of LBM up to ongoing research on selected topics. Followed by mentored training on case studies using OpenLB in the second half of the week, the participants gain deep insights into LBM and its applications. Emphasis is placed on the modelling and simulation of fluid flows.

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 poster session, coffee breaks and an excursion.

Software tutorial and requirements

In the computing lab sessions on Thursday and Friday, the participants are trained on practical applications, deploying the open source software OpenLB. Particular focus is placed on case studies, which are important to understand and verify the theory presented in the lectures, earlier in the spring school. By the help of experienced tutors, the computing lab sessions also enable to set up OpenLB simulations for relevant problems. To guaranty personal tutoring and intensive exchange between experienced mentors and novices, the lab is limited to 50 participants.

The attendees are responsible to bring their own laptop equipped with the software

  • Recent C++ compiler with full C++17 support (minimum versions: GNU GCC 9, Clang 13 or Intel C++ 19.0)
  • OpenMPI 3.4 and higher
  • ParaView

Windows users prepare their laptop in advance following the Technical Report 5 (


  • Francois Dubois, CNAM Paris, Universite Paris-Sud, France
  • Timm Krüger, The University of Edinburgh, United Kingdom
  • Halim Kusumaatmaja, Michael D. Rennick, Durham University, United Kingdom
  • Timothy Reis, University of Greenwich, United Kingdom
  • Davide Dapelo, University of Liverpool, United Kingdom
  • Fedor Bukreev, Shota Ito, Mathias J. Krause, Adrian Kummerländer, Jan E. Marquardt, Stephan Simonis, Dennis Teutscher, Karlsruhe Institute of Technology, Germany

Course delivery

Printed lecture notes, lectures by invited speakers, software lab mentored by OpenLB developers, 5x lunch, 2x dinner (including Spring School dinner), social excursion, all coffee breaks, certificate of participation

Open workshop

The spring school is organized as open workshop. It promotes the participants and is open for the interested general public. The spring school is organized as a non-profit event.


 Early registration

(by 10th May 2023)

Regular registration
Academia£ 300£ 420
Industry£ 1,300£ 1,420

Poster session award

The award is aiming at supporting excellent students working in the field of LBM.

Supported by

University of Greenwich
kit Karlsruhe Institute of Technology
Lattice Boltzmann Research Group
Process Machines


London Mathematical Society

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UK Consortium on Mesoscale Engineering Sciences