COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > DAMTP BioLunch > Diffusion of active particles in a complex environment strongly depends on boundary conditions
Diffusion of active particles in a complex environment strongly depends on boundary conditionsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Anne Herrmann. Upon collision with a circular obstacle, pusher-like active particles (e.g. bacteria, Janus particles) temporarily glide along the surface of the obstacle. They then leave the obstacle approximately at a tangent to the surface. Microfluidic experiments have shown that bacteria appear to be guided by regular structures of such obstacles. Here we introduce a theoretical framework based on simulations of active (Brownian) particles in a hexagonal lattice. We show that the observed guiding effect could be a consequence of mere geometric constraints as opposed to more complicated long-range hydrodynamic interactions, and that for certain parameter ranges, large diffusion coefficients approaching the free space case are possible even at high obstacle density. We contrast this with the Lorentz gas, where particles undergo billiard ball-like collisions. This talk is part of the DAMTP BioLunch series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsThree-dimensional cell culture: Innovations in tissue scaffolds and biomimetic systems Mott Colloquium CaMedia (Media and Creative Industries Society)Other talksTransboundary protected areas: source of cooperation or conflict? Back on the Agenda? Industrial Policy revisited Conference Selectivity and dynamics of human face representations Journals: Publishing your Research Effectively (for PhD Students in Humanities, Arts and Social Sciences) Books: Publishing your Research Effectively (For PhD Students in Humanities, Arts and Social Sciences) Trading on Textual Data using AI |