scholarly journals Dynamical clustering interrupts motility-induced phase separation in chiral active Brownian particles

2022 ◽  
Vol 156 (2) ◽  
pp. 021102
Author(s):  
Zhan Ma ◽  
Ran Ni
Keyword(s):  
Phase Separation ◽  
Brownian Particles

scholarly journals Effective Cahn-Hilliard Equation for the Phase Separation of Active Brownian Particles

2014 ◽  
Vol 112 (21) ◽  
Author(s):  
Thomas Speck ◽  
Julian Bialké ◽  
Andreas M. Menzel ◽  
Hartmut Löwen
Keyword(s):  
Phase Separation ◽  
Hilliard Equation ◽  
Brownian Particles ◽  
Cahn Hilliard Equation

scholarly journals Phase separation of active Brownian particles in two dimensions: anything for a quiet life

2021 ◽  
pp. e1902585
Author(s):  
Sophie Hermann ◽  
Daniel de las Heras ◽  
Matthias Schmidt
Keyword(s):  
Phase Separation ◽  
Two Dimensions ◽  
Brownian Particles

scholarly journals Whirligig beetles as corralled active Brownian particles

2021 ◽  
Vol 18 (177) ◽  
Author(s):  
Harvey L. Devereux ◽  
Colin R. Twomey ◽  
Matthew S. Turner ◽  
Shashi Thutupalli
Keyword(s):  
Phase Separation ◽  
Condensed Phase ◽  
Open Space ◽  
Brownian Particle ◽  
Low Density ◽  
Speed Scaling ◽  
New Model ◽  
Density Dependent ◽  
Brownian Particles ◽  
Active Brownian Particle

We study the collective dynamics of groups of whirligig beetles Dineutus discolor (Coleoptera: Gyrinidae) swimming freely on the surface of water. We extract individual trajectories for each beetle, including positions and orientations, and use this to discover (i) a density-dependent speed scaling like v ∼ ρ − ν with ν ≈ 0.4 over two orders of magnitude in density (ii) an inertial delay for velocity alignment of approximately 13 ms and (iii) coexisting high and low-density phases, consistent with motility-induced phase separation (MIPS). We modify a standard active Brownian particle (ABP) model to a corralled ABP (CABP) model that functions in open space by incorporating a density-dependent reorientation of the beetles, towards the cluster. We use our new model to test our hypothesis that an motility-induced phase separation (MIPS) (or a MIPS like effect) can explain the co-occurrence of high- and low-density phases we see in our data. The fitted model then successfully recovers a MIPS-like condensed phase for N = 200 and the absence of such a phase for smaller group sizes N = 50, 100.

scholarly journals Machine Learning for Phase Behavior in Active Matter Systems

Soft Matter ◽  
2021 ◽  
Author(s):  
Austin R Dulaney ◽  
John F. Brady
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Phase Separation ◽  
Phase Behavior ◽  
Active Matter ◽  
Brownian Particles ◽  
Learning Techniques

We demonstrate that deep learning techniques can be used to predict motility-induced phase separation (MIPS) in suspensions of active Brownian particles (ABPs) by creating a notion of phase at the...

scholarly journals Clustering and phase separation of circle swimmers dispersed in a monolayer

Soft Matter ◽  
2018 ◽  
Vol 14 (38) ◽  
pp. 7873-7882 ◽  
Author(s):  
Guo-Jun Liao ◽  
Sabine H. L. Klapp
Keyword(s):  
Phase Separation ◽  
Brownian Particles ◽  
Freely Moving ◽  
The Impact

Active Brownian particles can exhibit motility-induced phase separation, in which densely packed clusters coexist with freely moving swimmers. We investigate the impact of active rotation on the coexisting densities and discover a novel state of clockwise vortices.

scholarly journals Continuum Theory of Phase Separation Kinetics for Active Brownian Particles

2013 ◽  
Vol 111 (14) ◽  
Author(s):  
Joakim Stenhammar ◽  
Adriano Tiribocchi ◽  
Rosalind J. Allen ◽  
Davide Marenduzzo ◽  
Michael E. Cates
Keyword(s):  
Phase Separation ◽  
Continuum Theory ◽  
Brownian Particles ◽  
Phase Separation Kinetics ◽  
Separation Kinetics
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