Escape of a passive particle from activity-induced energy landscape: Emergence of slow and fast effective diffusion
Subhasish Chaki, Rajarshi Chakrabarti

TL;DR
This paper investigates how activity-induced rugged energy landscapes affect the escape dynamics and diffusion of particles, revealing slow and fast regimes influenced by activity levels and correlation properties.
Contribution
It introduces a model for particle escape in active rugged landscapes, linking activity to escape times and effective diffusivity, extending beyond effective temperature descriptions.
Findings
Mean escape time increases with activity in rugged landscapes.
High activity enhances diffusion in dilute environments.
Active correlation form influences escape time dependence.
Abstract
Spontaneous persistent motions driven by active processes play a central role to maintain the living cells far from equilibrium. In the majority of the research works, the steady state dynamics of an active system has been described in terms of an effective temperature. In the majority of the research works, the steady state dynamics of an active system has been described in terms of an effective temperature. By contrast, we have examined a prototype model for diffusion in an activity-induced rugged energy landscape to describe the slow dynamics of a tagged particle in a dense active environment. The expression for the mean escape time from the active rugged energy landscape holds only in the limit of low activity and the mean escape time from the rugged energy landscape increases with activity. The precise form of the active correlation will determine whether the mean escape time will…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
