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20042019
most citedActive Brownian particles with velocity-alignment and active fluctuations

64 citations · 411 across the 15 of their papers we have counts for

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6 papers · 1 filter

cond-mat.stat-mech2013★ 24 cited

How entropy and hydrodynamics cooperate in rectifying particle transport

S. Martens, G. Schmid, A. V. Straube +2

Using the analytical Fick-Jacobs approximation formalism and extensive Brownian dynamics simulations we study particle transport through two-dimensional periodic channels with tria…

cond-mat.stat-mech2012★ 64 cited

Active Brownian particles with velocity-alignment and active fluctuations

Robert Grossmann, Lutz Schimansky-Geier, Pawel Romanczuk

We consider a model of active Brownian particles with velocity-alignment in two spatial dimensions with passive and active fluctuations. Hereby, active fluctuations refers to purel…

cond-mat.stat-mech2012★ 18 cited

Impact of inertia on biased Brownian transport in confined geometries

Steffen Martens, Igor M. Sokolov, Lutz Schimansky-Geier

We consider the impact of inertia on biased Brownian motion of point particles in a two-dimensional channel with sinusoidally varying width. If the time scales of the problem separ…

cond-mat.stat-mech2011★ 45 cited

Biased Brownian motion in extreme corrugated tubes

Steffen Martens, Gerhard Schmid, Lutz Schimansky-Geier +1

Biased Brownian motion of point-size particles in a three-dimensional tube with smoothly varying cross-section is investigated. In the fashion of our recent work [Martens et al., P…

cond-mat.stat-mech2007★ 23 cited

Self-organized escape of oscillator chains in nonlinear potentials

D. Hennig, S. Fugmann, L. Schimansky-Geier +1

We present the noise free escape of a chain of linearly interacting units from a metastable state over a cubic on-site potential barrier. The underlying dynamics is conservative an…

cond-mat.stat-mech2005★ 29 cited

First Passage Time Densities in Non-Markovian Models with Subthreshold Oscillations

T. Verechtchaguina, I. M. Sokolov, L. Schimansky-Geier

Motivated by the dynamics of resonant neurons we consider a differentiable, non-Markovian random process and particularly the time after which it will reach a certain level…