Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Maximilian Seyrich"'
Autor:
Oliver Pohl, Marius Hintsche, Zahra Alirezaeizanjani, Maximilian Seyrich, Carsten Beta, Holger Stark
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 1, p e1005329 (2017)
Many bacteria perform a run-and-tumble random walk to explore their surrounding and to perform chemotaxis. In this article we present a novel method to infer the relevant parameters of bacterial motion from experimental trajectories including the tum
Externí odkaz:
https://doaj.org/article/de85d4e5c7684d8c9d2c333b3dabb198
Publikováno v:
New Journal of Physics, Vol 21, Iss 10, p 103001 (2019)
We formulate a Markovian response theory for the tumble rate of a bacterium moving in a chemical field and use it in the Smoluchowski equation. Based on a multipole expansion for the one-particle distribution function and a reaction-diffusion equatio
Externí odkaz:
https://doaj.org/article/29347a30e53949afa58bf49017040641
Publikováno v:
New Journal of Physics, Vol 20, Iss 10, p 103033 (2018)
We provide a detailed stochastic description of the swimming motion of an E.coli bacterium in two dimension, where we resolve tumble events in time. For this purpose, we set up two Langevin equations for the orientation angle and speed dynamics. Calc
Externí odkaz:
https://doaj.org/article/e6fb5ee698054e3690ded2354cd00d8d
Publikováno v:
The Journal of chemical physics. 150(21)
Mixtures of active and passive colloids show an intriguing dynamics of self-assembling, which is driven by the active component. Self-phoretic active colloids generate sinks in a chemical concentration field that cause passive colloids to drift towar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f08892f7905ca38619cc3f795c4e78d8
https://pubmed.ncbi.nlm.nih.gov/31176313
https://pubmed.ncbi.nlm.nih.gov/31176313
We provide a detailed stochastic description of the swimming motion of an E. coli bacterium in two dimension, where we resolve tumble events in time. For this purpose, we set up two Langevin equations for the orientation angle and speed dynamics. Cal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e431be66a547f3e3dcfd73448de8d451
https://depositonce.tu-berlin.de/handle/11303/16426
https://depositonce.tu-berlin.de/handle/11303/16426
Autor:
Carsten Beta, Oliver Pohl, Zahra Alirezaeizanjani, Maximilian Seyrich, Holger Stark, Marius Hintsche
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 1, p e1005329 (2017)
PLoS Computational Biology
PLoS Computational Biology
Many bacteria perform a run-and-tumble random walk to explore their surrounding and to perform chemotaxis. In this article we present a novel method to infer the relevant parameters of bacterial motion from experimental trajectories including the tum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8918c966d0c8334d7863a3e3fd88ee82
Autor:
Maximilian Seyrich, Didier Sornette
Publikováno v:
SSRN Electronic Journal.
We present a plausible micro-founded model for the previously postulated power law finite time singular form of the crash hazard rate in the Johansen-Ledoit-Sornette model of rational expectation bubbles. The model is based on a percolation picture o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4c444f9446ff2eda65200dcc604b281
https://doi.org/10.2139/ssrn.2722383
https://doi.org/10.2139/ssrn.2722383