5th Spring School
Lattice Boltzmann Methods
with OpenLB Software Lab
21. – 25. March 2022
6. – 10. June 2022
- Nicolas Hafen, Karlsruhe Institute of Technology, Germany
- Mathias J. Krause, Karlsruhe Institute of Technology, Germany
- Jan E. Marquardt, Karlsruhe Institute of Technology, Germany
- Paweł Madejski, AGH University of Science and Technology, Krakow, Poland
- Tomasz Kuś, AGH University of Science and Technology, Krakow, Poland
- Navaneethan Subramanian, AGH University of Science and Technology, Krakow, Poland
- Maciej Bujalski, AGH University of Science and Technology, Krakow, Poland
- Karolina Chmiel, AGH University of Science and Technology, Krakow, Poland
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.
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
Windows users should prepare their laptop in advance to enable the Windows Substystem for Linux (WSL) following the Technical Report 5 (www.openlb.net/tech-reports).
- Robert Straka (AGH University of Science and Technology) (confirmed)
- Timm Krüger, The University of Edinburgh, United Kingdom (confirmed)
- Taehun Lee, City College of New York, USA (confirmed)
- Michael D. Rennick (representing Halim Kusumaatmaja), Durham University, United Kingdom (confirmed)
- Helen Schottenhamml (representing Ulrich Rüde), Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany (confirmed)
- Fedor Bukreev, Nicolas Hafen, Mathias J. Krause, Adrian Kummerländer, Jan E. Marquardt, Johanna Mödl, Stephan Simonis, Karlsruhe Institute of Technology, Germany (confirmed)
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
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. The spring school is co-financed by the Polish National Agency for Academic Exchange under the STER program – Internationalization of doctoral schools (The event is co-financed with agreement No .PPI/STE/2020/1/00012/DEC/01 and organized un- der the honorary Patronage of the dean of the Faculty of Mechanical Engineering and Robotics, Krzysztof Mendrok).
|Early registration |
(by 10. May 2022)
|Academia||€ 350||€ 500|
|Industry||€ 1,700||€ 1,850|
Registration fee includes
- Printed lecture notes
- lectures by invited speakers
- software tutorial mentored by OpenLB developers
- 5x lunch, 2x dinner (including Spring School dinner), all coffee breaks
- social excursion
- certificate of participation
Several scholarships are available for students (MA or PhD candidates) – register first and send your CV to springschool(at)openlb.net.
Poster session award
The award is aiming at supporting excellent students working in the field of LBM.