Michael Kuron
PhD student
| Office: | 1.041 |
|---|---|
| Phone: | +49 711 685-67715 |
| Fax: | +49 711 685-63658 |
| Email: | mkuron _at_ icp.uni-stuttgart.de |
| Address: | Michael Kuron Institute for Computational Physics Universität Stuttgart Allmandring 3 70569 Stuttgart Germany |
I am a PhD student in Christian Holm's group, working on lattice Boltzmann simulations of cooperative behavior of active particles, under the supervision of Joost de Graaf.
Contents
Publications
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Martin Bauer and Sebastian Eibl and Christian Godenschwager and Nils Kohl and Michael Kuron and Christoph Rettinger and Florian Schornbaum and Christoph Schwarzmeier and Dominik Thönnes and Harald Köstler and Ulrich Rüde.
"waLBerla: A block-structured high-performance framework for multiphysics simulations".
Computers & Mathematics with Applications , 2020.
[DOI] [URL]
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Weik, Florian and Weeber, Rudolf and Szuttor, Kai and Breitsprecher, Konrad and de Graaf, Joost and Kuron, Michael and Landsgesell, Jonas and Menke, Henri and Sean, David and Holm, Christian.
"ESPResSo 4.0 – an extensible software package for simulating soft matter systems".
The European Physical Journal Special Topics 227(14)(1789–1816), 2019.
[PDF] (2 MB) [DOI] [URL]
Master's Thesis
"Efficient Lattice Boltzmann Algorithms for Colloids Undergoing Electrophoresis" (file does not exist!), 2015, Institute for Computational Physics, University of Stuttgart (Download will be available soon)
For this thesis, waLBerla, a highly-scalable grid framework for applications such as lattice-Boltzmann and solving partial differential equations, was extended so that it can be used for simulating the electrokinetics of active colloids.
Bachelor Thesis
"Like-Charge Attraction in DNA" (2.3 MB)
, 2013, Institute for Computational Physics, University of Stuttgart
For this thesis, the MMM1D algorithm was ported to GPGPU. This resulted in a 40-fold performance increase over the previous implementation in ESPResSo and now allows for Molecular Dynamics simulations with electrostatic interactions in 1D-periodic geometries with several thousand particles.
Using this, simulations with various simple DNA models were performed. These simulations show that charge discretization and phase shifts between DNA molecules, modeled as rods, have a significant influence on their attractive properties, an effect that previous works disregarded as it was computationally too expensive, even though it turns out to be too large to neglect for realistic results. Curling up the discretely charged rods into helices, thus making the most accurate model of DNA that could be simulated with the limits of time and resources for this thesis, reveals further geometry dependencies and again a strong influence of a phase shift between the two helices. For phase shifts of 180°, the results for the continuous rods are mostly recovered for large Bjerrum lengths, but for any other phase shift, the forces are weaker, albeit still attractive.
Teaching
- Computergrundlagen (WS 19/20)
- Computergrundlagen (WS 18/19)
- Simulation Methods in Physics I (WS 17/18)
- Physik auf dem Computer (SS 17)
- Hauptseminar Active Matter (SS 17)
- Simulation Methods in Physics I (WS 16/17)
- Physik auf dem Computer (SS 16)
- Simulation Methods in Physics I (WS 15/16)
Students
- Cameron Stewart, M.Sc. thesis "Development of a Lattice Boltzmann-based Oldroyd-B Model for Simulating Viscoelastic Fluids" (2018)
- Philipp Stärk, B.Sc. thesis "Toward Swimming in Porous Networks: Interactions between Microswimmers and Obstacles" (2018)
- Christian Burkard, B.Sc. thesis "Investigating the Behavior of Active Colloids at Interfaces Using the Squirmer Model and the Lattice Boltzmann Algorithm" (2017)
