Physical Chemistry MSc Seminar: Information Transfer in Restarted Search by Active Brownian Particles

Zoom: 

Abstract:

We study a many-body search process of active Brownian particles subject to stochastic resetting and local information transfer. We introduce a minimal model of information transfer in which particles returning from a target wall transmit their direction of origin to uninformed searchers through local collisions. The acquired directional bias is transient and decays on the timescale set by rotational diffusion. We show that the impact of information transfer is governed by the interplay between target proximity and directional memory. In particular, the enhancement of the wall-hit rate and the reduction in collective passage times are confined to a finite spatial regime in which the target distance is comparable to the persistence length. Beyond this range, the directional bias is lost before it can be effectively exploited. These results identify a minimal mechanism by which local interactions influence collective active search and clarify the physical scales that determine when information transfer provides a measurable benefit.

Seminar Organizer: Prof. Yuval Ebenstein