Jan Eric Marquardt, M.Sc.

Jan Eric Marquardt, M.Sc.

  • Straße am Forum 8
    76131 Karlsruhe

Research interest

Modeling and simulation of particulate flows

Particulate flows are ubiquitous in nature, engineering, and industry. They are important to study because they can have a significant impact on the environment, human health and safety, manufacturing processes, and many other applications. Hence, the ability to study realistic particle-laden flows numerically is an important aspect. As such, it is vital for these numerical studies to allow complex particle shapes, also in systems with high particle volume fractions. Because the coupling between the surrounding fluid and a particle depends heavily on the particle's shapes, which is evident in the drag force. Furthermore, the interactions with other particles and obstacles, such as a wall, also have a dependency on the shape.

While significant, the consideration of arbitrary particle shapes remains a major challenge. For this reason, it's crucial to improve the models and methods that are already in use or to create new ones that allow accurate studies of particulate flows. Here, the primary aim is to consider coarsely dispersed suspensions. However, it is likely that the resulting novel developments are appliable to other applications.

zu vergebende Studien- Bachelor, Master und Diplomarbeiten
title type time
Bachelor or master thesis (simulative) as of now


Simulation of Dynamic Rearrangement Events in Wall-Flow Filters Applying Lattice Boltzmann Methods
Hafen, N.; Marquardt, J. E.; Dittler, A.; Krause, M. J.
2023. Fluids, 8 (7), Art.-Nr.: 213. doi:10.3390/fluids8070213
Optimization of a Micromixer with Automatic Differentiation
Jeßberger, J.; Marquardt, J. E.; Heim, L.; Mangold, J.; Bukreev, F.; Krause, M. J.
2022. Fluids, 7 (5), Art.-Nr.: 144. doi:10.3390/fluids7050144
Numerical and experimental examination of the retention of magnetic nanoparticles in magnetic chromatography
Marquardt, J. E.; Arlt, C.-R.; Trunk, R.; Franzreb, M.; Krause, M. J.
2021. Computers and Mathematics with Applications, 89, 34–43. doi:10.1016/j.camwa.2021.02.010
OpenLB—Open source lattice Boltzmann code
Krause, M. J.; Kummerländer, A.; Avis, S. J.; Kusumaatmaja, H.; Dapelo, D.; Klemens, F.; Gaedtke, M.; Hafen, N.; Mink, A.; Trunk, R.; Marquardt, J. E.; Maier, M.-L.; Haussmann, M.; Simonis, S.
2021. Computers and mathematics with applications, 81, 258–288. doi:10.1016/j.camwa.2020.04.033
Towards the simulation of arbitrarily shaped 3D particles using a homogenised lattice Boltzmann method
Trunk, R.; Marquardt, J.; Thäter, G.; Nirschl, H.; Krause, M. J.
2018. Computers & fluids, 172, 621–631. doi:10.1016/j.compfluid.2018.02.027


  1. Numerische Studie des Segré-Silberberg Effekt mit der Homogenised Lattice Boltzmann Methode
    Marquardt, J.
    2021, March 10. Jahrestreffen der ProcessNet-Fachgruppen "Abfallbehandlung und Wertstoffrückgewinnung, Energieverfahrenstechnik, Gasreinigung, Hochtemperaturtechnik, Rohstoffe" (2017), Frankfurt am Main, Germany, March 21–23, 2017