Domain Growth in the Active Model B: Critical and Off-critical Composition
Sudipta Pattanayak, Shradha Mishra, and Sanjay Puri

TL;DR
This paper investigates the domain growth kinetics and dynamical scaling in the Active Model B, revealing novel growth laws and the influence of activity and noise on phase separation in active Brownian particles.
Contribution
It introduces a detailed analysis of domain growth laws in Active Model B, including the effects of activity sign and noise, extending understanding of phase separation in active matter.
Findings
Negative P yields Lifshitz-Slyozov growth law ($t^{1/3}$).
Positive P results in a new growth law ($t^{1/4}$).
Correlation functions exhibit dynamical scaling with dependencies.
Abstract
We study the ordering kinetics of an assembly of {\it active Brownian particles} (ABPs) on a two-dimensional substrate. We use a coarse-grained equation for the composition order parameter , where and denote space and time, respectively. The model is similar to the {\it Cahn-Hilliard equation} or {\it Model B} (MB) for a conserved order parameter with an additional activity term of strength . This model has been introduced by Wittkowski et al., Nature Comm. {\bf 5}, 4351 (2014), and is termed {\it Active Model B} (AMB). We study domain growth kinetics and dynamical scaling of the correlation function for the AMB with critical and off-critical compositions. The quantity governs the asymptotic growth kinetics for the off-critical AMB, where denotes the average order parameter. For negative , the…
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.
