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 |
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 81(478–501), 2021.
[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".
European Physical Journal Special Topics 227(14)(1789–1816), 2019.
[PDF] (2 MB) [DOI]
Dissertation
I wrote this dissertation as a PhD student of Christian Holm under co-supervision of Joost de Graaf.
It contains material from some of the above publications, but covers many things in more depth and provides additional results and insight that were obtained after the papers had been published.
Master's Thesis
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Michael Kuron.
"Efficient Lattice Boltzmann Algorithms for Colloids Undergoing Electrophoresis".
Master's thesis, University of Stuttgart, 2015.
For this thesis, supervised by Joost de Graaf and Georg Rempfer, 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
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Kuron, Michael.
"Like-Charge Attraction in DNA".
Bachelor's thesis, University of Stuttgart, 2013.
For this thesis, supervised by Axel Arnold, 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
- Physik auf dem Computer (SS 20)
- 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
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Stewart, Cameron.
"Development of a Lattice-Boltzmann Based Oldroyd-B Model for Simulating Viscoelastic Fluids".
Master's thesis, University of Stuttgart, 2018.
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Philipp Stärk.
"Toward Swimming in Porous Networks: Interactions between Microswimmers and Obstacles".
Bachelor's thesis, University of Stuttgart, 2018.
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Burkard, Christian.
"Investigating the Behaviour of Active Colloids at Interfaces Using the Squirmer Model and the Lattice Boltzmann Algorithm".
Bachelor's thesis, University of Stuttgart, 2017.