Dresden 2020 – wissenschaftliches Programm
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TT 64.3: Poster
Donnerstag, 19. März 2020, 15:00–18:00, P1A
Target search of active agents in complex environments. — •Luigi Zanovello1,2, Michele Caraglio1, Pietro Faccioli2, and Thomas Franosch1 — 1Institut für Theoretische Physik, Universität Innsbruck, Technikerstraße 21A, A-6020 Innsbruck, Austria — 2Statistical and Biological Physics Group, Dipartimento di Fisica, Università degli studi di Trento, Via Sommarive 14, 38123 Trento, Italy
Often living microorganisms, i.e. bacteria, move in complex landscapes in search of some target, i.e. nutrients, and use self propulsion to optimize their search.
Transport properties of single active Brownian particles in disordered environments are here investigated by computer simulations. Typically, in such random environments many paths exist connecting a starting region to the target. Furthermore, reaching the target likely involves the overcome of many barriers, which introduces a separation of time scales and makes the target search a rare event. Thus, with naive brute force molecular dynamics, characterizing the transition paths ensemble can be very demanding, if not unfeasible.
To cope with these issues, we design enhanced sampling techniques for active Brownian particles, which are inspired from methods used for the determination of rate constants in chemical reactions and protein folding. In particular, we design an active particle’s version of transition path sampling and self-consistent path sampling. As a case study, the transition paths properties of active particles are compared with those of passive ones in simple potential landscapes with few local minima.