Effect of the background flow on motility-induced phase separation

We simulate active Brownian particles (ABPs) with soft-repulsive interactions subjected to a four-roll-mill flow. In the absence of flow, this system exhibits motility-induced phase separation (MIPS). To investigate the interplay between MIPS and flow-induced mixing, we introduce dimensionless parameters: a scaled time, <i>τ</i>, and a scaled speed, <i>V</i>, characterizing the ratio of ABP to fluid time and speed scales, respectively. The parameter space defined by <i>τ</i> and <i>V</i> reveals three distinct ABP distribution regimes. At low speeds, <i>V</i> ≪ 1, flow dominates, leading to a homogeneous mixture. Conversely, at high speeds, <i>V</i> ≫ 1, motility prevails, resulting in MIPS. In the intermediate regime (<i>V</i> ∼ 1), the system's behavior depends on <i>τ</i>. For <i>τ</i> < 1, a moderately mixed homogeneous phase emerges, while for <i>τ</i> > 1, a novel phenomenon, termed flow-induced phase separation (FIPS), arises due to the combined effects of flow topology and ABP motility and size. To characterize these phases, we analyze drift velocity, diffusivity, mean-squared displacement, giant number fluctuations, radial distribution function, and cluster-size distribution.

Authors

Institutions

Publication Details

Journal
Soft Matter
Published
2025-01-01
DOI
https://doi.org/10.1039/d5sm00362h
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of the background flow on motility-induced phase separation

Akshay Bhatnagar, Anupam Gupta, Soni D. Prajapati
Soft Matter
Micro and Nano Robotics
article

Effect of the background flow on motility-induced phase separation

Akshay Bhatnagar, Anupam Gupta, Soni D. Prajapati
article en

Abstract

We simulate active Brownian particles (ABPs) with soft-repulsive interactions subjected to a four-roll-mill flow. In the absence of flow, this system exhibits motility-induced phase separation (MIPS). To investigate the interplay between MIPS and flow-induced mixing, we introduce dimensionless parameters: a scaled time, <i>τ</i>, and a scaled speed, <i>V</i>, characterizing the ratio of ABP to fluid time and speed scales, respectively. The parameter space defined by <i>τ</i> and <i>V</i> reveals three distinct ABP distribution regimes. At low speeds, <i>V</i> ≪ 1, flow dominates, leading to a homogeneous mixture. Conversely, at high speeds, <i>V</i> ≫ 1, motility prevails, resulting in MIPS. In the intermediate regime (<i>V</i> ∼ 1), the system's behavior depends on <i>τ</i>. For <i>τ</i> < 1, a moderately mixed homogeneous phase emerges, while for <i>τ</i> > 1, a novel phenomenon, termed flow-induced phase separation (FIPS), arises due to the combined effects of flow topology and ABP motility and size. To characterize these phases, we analyze drift velocity, diffusivity, mean-squared displacement, giant number fluctuations, radial distribution function, and cluster-size distribution.

Soft MatterVol. 21(23)
Indian Institute of Technology Roorkee (IN), Indian Institute of Technology Palakkad (IN), Indian Institute of Technology Hyderabad (IN)
Department of Science and Technology, Ministry of Science and Technology, India, University Grants Commission, Science and Engineering Research Board
Openalex Percentile: Top 93%
Micro and Nano Robotics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.