2020/05/27 by Oleksandr Chepizhko, Thomas Franosch · 21 citations
Engineering · Mathematics · Physics and Astronomy · #Artificial intelligence #Biology #Classical mechanics #Computer science #Diffusion #Function (biology) #Mathematics #Micro and Nano Robotics #Microfluidic and Bio-sensing Technologies #Molecular Communication and Nanonetworks #Motion (physics) #Noise (video) #Obstacle #Physics #Quantum mechanics #Randomness #Rotational diffusion #Statistical physics #Statistics #Stochastic dynamics #Stochastic process #cond-mat.soft #physics.bio-ph
paper · pdf · open access · doi:10.1088/1367-2630/ab9708
published in New Journal of Physics 22(7), 073022 (IOP Publishing) · 21 pages, 8 figures
openalex publication_date 2020/05/27 · arxiv created 2020/07/15 · arxiv updated 2020/07/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Abstract We simulate the dynamics of a single circle microswimmer exploring a disordered array of fixed obstacles. The interplay of two different types of randomness, quenched disorder and stochastic noise, is investigated to unravel their impact on the transport properties. We compute lines of isodiffusivity as a function of the rotational diffusion coefficient and the obstacle density. We find that increasing noise or disorder tends to amplify diffusion, yet for large randomness the competition leads to a strong suppression of transport. We rationalize both the suppression and amplification of transport by comparing the relevant time scales of the free motion to the mean period between collisions with obstacles.