Research Interests

My primary focus are the efficient implementation of Lattice Boltzmann Methods on heterogeneous High Performance Computers.

One of my main projects is OpenLB – An Open Source High Performance Lattice Boltzmann Code for Heterogeneous CPU-GPU Clusters financed by NHR∂KIT. I am also involved in FALCON and HiResHemo.

For some application visuals see Wind Park, Propeller Airplane and Vocal Folds.

Publications

• A. Kummerländer, B. Tur, M. Haase, F. Bukreev, M. Döllinger, M.J. Krause, and S. Kniesburges. Efficient fluid structure interaction simulation of vocal fold oscillations using a homogenized Lattice Boltzmann Method. In: Computer Methods in Applied Mechanics and Engineering. 2026. DOI: 10.1016/j.cma.2026.119009
• A. Kummerländer, S. Ito, M. Schecher, D. Dapelo, S. Simonis, M.J. Krause, and F. Bukreev. Efficient Wall-Modelled Large Eddy Simulation of Rotors using Homogenized Lattice Boltzmann Methods. In: International Journal of Numerical Methods for Heat & Fluid Flow. 2026. DOI: 10.1108/HFF-09-2025-0724
• A. Kummerländer, F. Bukreev, D. Teutscher, M. Dorn, and M.J. Krause. Optimization of Single Node Load Balancing for Lattice Boltzmann Method on Heterogeneous High Performance Computers. In: Journal of Parallel and Distributed Computing. 2025.DOI: 10.1016/j.jpdc.2025.105169
• A. Kummerländer, F. Bukreev, Y. Shimojima, S. Ito, and M.J. Krause. Large-Scale Simulations of Turbulent Flows using Lattice Boltzmann Methods on Heterogeneous High Performance Computers. In: High Performance Computing in Science and Engineering ’25 (accepted). 2025. DOI: 10.48550/arXiv.2506.21804
• A. Kummerländer, F. Bukreev, S. Berg, M. Dorn and M.J. Krause. Advances in Computational Process Engineering using Lattice Boltzmann Methods on High Performance Computers. In: High Performance Computing in Science and Engineering ’23.
• A. Kummerländer, M. Dorn, M. Frank, and M.J. Krause. Implicit Propagation of Directly Addressed Grids in Lattice Boltzmann Methods. In: Concurrency and Computation. DOI: 10.1002/cpe.7509.
• S. Ito, M. Vogel, A. A. Fessler, A. Kummerländer, A. Lischke, D. Gradl, F. le Noble, M. J. Krause, and S. Simonis. In vivo blood viscosity estimation from microscopic images by solving an inverse incompressible Navier-Stokes problem. In: Computer Methods in Applied Mechanics and Engineering. 2026. DOI: 10.1016/j.cma.2026.118927
• S. Ito, A. Kummerländer, J. Jeßberger, J. L. Grafen, E. Öz, N. R. Gauger, M. Sagebaum, and M. J. Krause. Generation of efficient adjoint lattice Boltzmann methods with algorithmic differentiation. In: Preprint. 2026. DOI: 10.2139/ssrn.6505987
• F. Bukreev, A. Kummerländer, J. Jeßberger, D. Teutscher, S. Simonis, D. Bothe, and M. J. Krause. Benchmark simulation of laminar reactive micromixing using lattice Boltzmann methods. In: AIAA Journal. 2025. DOI: 10.2514/1.j064234
• M. Hettel, F. Bukreev, E. Daymo, A. Kummerländer, M. J. Krause, and O. Deutschmann. Calculation of single and multiple low Reynolds number free jets with a lattice-Boltzmann method. In: AIAA Journal. 2025. DOI: 10.2514/1.J064280
• F. Prinz, J. Kánská, J. Elcner, O. Hájek, A. Kummerländer, M. J. Krause, M. Jícha, and F. Lízal. Transport and deposition of inhaled fibers in a realistic female airway model: A combined experimental and numerical study. In: Computers in Biology and Medicine. 2025. DOI: 10.1016/j.compbiomed.2025.110473
• D. Teutscher, F. Bukreev, A. Kummerländer, S. Simonis, P. Bächler, A. Rezaee, M. Hermansdorfer, and M. J. Krause. A digital urban twin enabling interactive pollution predictions and enhanced planning. In: Building and Environment. 2025. DOI: 10.1016/j.buildenv.2025.113093
• F. Bukreev, A. Kummerländer, J. Jeßberger, D. Teutscher, S. Ito, S. Simonis, and M. J. Krause. A hybrid Lattice-Boltzmann model for hydro-electrochemical modeling and sensitivity analysis of crystallization potential in nanoporous media. Part I: simulation model. In: Engineering with Computers. 2025. DOI: 10.1007/s00366-025-02216-x
• F. Bukreev, A. Kummerländer, J. Jeßberger, D. Teutscher, S. Ito, S. Simonis, and M. J. Krause. A hybrid Lattice-Boltzmann model for hydro-electrochemical modeling and sensitivity analysis of crystallization potential in nanoporous media. Part II: application to the identification and quantification of influencing factors of phosphate saturation. In: Engineering with Computers. 2025. DOI: 10.1007/s00366-025-02217-w
• A. de Quadro Tacques Filho, T. N. Bingert, A. Kummerländer, L. E. Czelusniak, M. J. Krause, and M. Dorn. Lattice Boltzmann Simulation of Lauric Acid Melting in Rectangular Cavity With Different Fin Configurations With OpenLB. In: Energy Storage. 2025. DOI: 10.1002/est2.70237
• S. Ito, J. Jeßberger, S. Simonis, F. Bukreev, A. Kummerländer, and M. J. Krause. Identification of reaction rate parameters from uncertain spatially distributed concentration data using gradient-based PDE constrained optimization. In: Computers & Mathematics with Applications. 2024. DOI: 10.1016/j.camwa.2024.05.026
• F. Bukreev, S. Simonis, A. Kummerländer, J. Jeßberger, and M. J. Krause. Consistent lattice Boltzmann methods for the volume averaged Navier–Stokes equations. In: Journal of Computational Physics. 2023. DOI: 10.1016/j.jcp.2023.112301
• M.J. Krause, A. Kummerländer, S.J. Avis, H. Kusumaatmaja, D. Dapelo, F. Klemens, M. Gaedtke, N. Hafen, A. Mink, R. Trunk, J.E. Marquardt, M.L. Maier, M. Haussmann, and S. Simonis. OpenLB–Open source lattice Boltzmann code. In: Computers & Mathematics with Applications. 2021. DOI: 10.1016/j.camwa.2020.04.033.

Software Releases

• A. Kummerländer, T. Bingert, S. Bock, F. Bukreev, D. Castroviejo, L. E. Czelusniak, D. Dapelo, C. Gaul, M. Dorn, L. Dorneles, J. Grafen, M. Grinschewski, S. Ito, J. Jeßberger, F. Kaiser, D. Khazaeipoul, T. Krüger, A. Kumbhat, H. Kusumaatmaja, A. Nettekoven, A. Raeli, T. Riazantsev, M. Rennick, G. Prakash, F. Prinz, L. Sauterleute, M. Schecher, A. Schneider, Y. Shimojima, S. Simonis, P. Spelten, A. Tacques, and M. J. Krause. OpenLB Release 1.9: Open Source Lattice Boltzmann Code. Dec. 2025. DOI: 10.5281/zenodo.17899765.
• A. Kummerländer, T. Bingert, F. Bukreev, L. Czelusniak, D. Dapelo, C. Gaul, N. Hafen, S. Ito, J. Jeßberger, D. Khazaeipoul, T. Krüger, H. Kusumaatmaja, J.E. Marquardt, A. Raeli, M. Rennick, F. Prinz, M. Schecher, A. Schneider, Y. Shimojima, S. Simonis, P. Sitter, P. Spelten, A. Tacques, D. Teutscher, M. Zhong, and M. J. Krause. OpenLB Release 1.8: Open Source Lattice Boltzmann Code. Apr. 2025. DOI: 10.5281/zenodo.15440776.
• A. Kummerländer, T. Bingert, F. Bukreev, L. E. Czelusniak, D. Dapelo, N. Hafen, M. Heinzelmann, S. Ito, J. Jeßberger, H. Kusumaatmaja, J. E. Marquardt, M. Rennick, T. Pertzel, F. Prinz, M. Sadric, M. Schecher, S. Simonis, P. Sitter, D. Teutscher, M. Zhong, and M. J. Krause. OpenLB Release 1.7: Open Source Lattice Boltzmann Code. Feb. 2024. DOI: 10.5281/zenodo.10684609.
• A. Kummerländer, S. Avis, H. Kusumaatmaja, F. Bukreev, M. Crocoll, D. Dapelo, N. Hafen, S. Ito, J. Jeßberger, J.E. Marquardt, J. Mödl, T. Pertzel, F. Prinz, F. Raichle, M. Schecher, S. Simonis, D. Teutscher, and M.J. Krause. OpenLB Release 1.6: Open Source Lattice Boltzmann Code. Apr. 2023. DOI: 10.5281/zenodo.7773497.
• A. Kummerländer, S. Avis, H. Kusumaatmaja, F. Bukreev, D. Dapelo, S. Großmann, N. Hafen, C. Holeksa, A. Husfeldt, J. Jeßberger, L. Kronberg, J. Marquardt, J. Mödl, J. Nguyen, T. Pertzel, S. Simonis, L. Springmann, N. Suntoyo, D. Teutscher, M. Zhong and M.J. Krause. OpenLB Release 1.5: Open Source Lattice Boltzmann Code. Version 1.5. Apr. 2022. DOI: 10.5281/zenodo.6469606.

Conferences / Talks

• Towards Automatic Code Generation of Adjoint Lattice Boltzmann Methods for Fluid-Structure Interaction. EASN, 15th Conference of the European Aerospace Science Network, Madrid, Spain, October 2025.
• Towards High-Fidelity Digital Twins of Offshore Wind Turbines Utilizing State-of-the-Art Heterogeneous Supercomputers. University of Liverpool, EU Horizon Project SeaDream, Liverpool, UK, October 2025.
• Efficient Wall-Modeled Fluid-Structure Interaction Simulations. University of Edinburgh, Seminar talk during a visit to the groups of Prof. Timm Krüger and Prof. Kusumaatmaja, Edinburgh, UK, September 2025.
• Introduction to OpenLB (Invited Talk). CFDMLSE2025 Workshop on CFD & ML for Sustainable Engineering, UFRGS, Porto Alegre, Brazil, June 2025.
• Efficient Wall-Modelled Large Eddy Simulation with Fluid-Structure Interaction using Hybrid Homogenized Regularized Recursive Lattice-Boltzmann Methods. CFC, 23rd IACM Computational Fluids Conference, Santiago de Chile, March 2025.
• OpenLB : On the Sofware Architecture of an Efficient and Flexible Lattice Boltzmann Method Framework. deRSE25, Karlsruhe, Germany. February 2025.
• Homogenized Lattice Boltzmann Methods for Efficient Fluid-Structure Interaction Simulations. WCCM, Vancouver, Canada. July 2024.
• Optimization of Heterogeneous Load Balancing - Cooperative utilization of SIMD CPUs and GPUs for Lattice Boltzmann Methods in OpenLB. ISC High Performance, Hamburg, Germany. May 2024.
• Load Balancing of Lattice Boltzmann Methods for Heterogeneous High Performance Computers. Discrete Simulation of Fluid Dynamics DSFD, Albuquerque, NM, USA. July 2023.
• Research Software Engineering in OpenLB: Refactoring a Legacy Code to State-Of-The-Art Performance. deRSE23, Paderborn, Germany. February 2023. DOI: 10.5281/zenodo.7662082
• Lattice Boltzmann Performance Engineering in OpenLB. HiRSE Seminar Series. Online, December 2022. DOI: 10.5281/zenodo.7389379
• Implicit Propagation of Directly Addressed Grids in Lattice Boltzmann Methods. 32nd ParCFD, Nice, France. May 2021

Theses (offered topics)

These topics are suggestions for an initial discussion. The actual topic can be adapted to fit the profile and interests of the student.
Also feel free to contact me with own thesis ideas at the intersection of LBM and HPC.

Curriculum Vitae