Difference between revisions of "David Beyer"
Jump to navigation
Jump to search
David Beyer
PhD Student
(→2022) |
|||
| Line 8: | Line 8: | ||
|topical2=espresso | |topical2=espresso | ||
|topical3=code | |topical3=code | ||
| − | |image= | + | |image=Foto_DavidBeyer.jpg |
}} | }} | ||
Revision as of 13:59, 30 January 2023
PhD Student
| Office: | 01.039 |
|---|---|
| Fax: | +49 711 685-63658 |
| Email: | dbeyer _at_ icp.uni-stuttgart.de |
| Address: | David Beyer Institute for Computational Physics Universität Stuttgart Allmandring 3 70569 Stuttgart Germany |
Publications
2022
-
David Beyer, Peter Košovan, Christian Holm.
Simulations explain the Swelling Behavior of Hydrogels with Alternating Neutral and Weakly Acidic Blocks.
Macromolecules 55(23):10751–10760, 2022.
[PDF] (4.2 MB) [Preprint] [DOI] -
Jonas Landsgesell, David Beyer, Pascal Hebbeker, Peter Košovan, Christian Holm.
The pH-Dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution.
Macromolecules 55(8):3176–3188, 2022.
[PDF] (3.8 MB) [Preprint] [DOI] -
David Beyer, Jonas Landsgesell, Pascal Hebbeker, Oleg Rud, Raju Lunkad, Peter Košovan, Christian Holm.
Correction to “Grand-Reaction Method for Simulations of Ionization Equilibria Coupled to Ion Partitioning”.
Macromolecules 55(3):1088, 2022.
[PDF] (523 KB) [DOI]
Posters
2022
2021
Data Repositories
2022
Journal Covers
Theses
Master Thesis
Title: Coarse-Grained Computer Simulations of Weak Polyelectrolyte Hydrogels, Stars and Brushes
2021, Institute for Computational Physics, Stuttgart
Bachelor Thesis
Title: Controlling Pattern Formation in the Confined Schnakenberg Model
2019, Max Planck Institute for Intelligent Systems, Stuttgart
Teaching
- Simulation Methods in Physics I (WS 22/23)
- Simulation Methods in Physics II (SS 22)
- Hauptseminar "Porous Media" (SS 21)
- Computergrundlagen (WS 20/21)
- Grundlagen der Experimentalphysik II (SS 19)
- Grundlagen der Experimentalphysik I (WS 18/19)