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Published on: April 11, 2018
Phase behaviour and dynamics of three-dimensional active dumbbell systems.
C B Caporusso1, G Negro1, A Suma1
1Dipartimento Interateneo di Fisica, Università degli Studi di Bari and INFN, Sezione di Bari, via Amendola 173, Bari, I-70126, Italy. giuseppe.negro@ba.infn.it.
Attractive interactions are key for active dumbbell systems to form complex phases. This study reveals a phase diagram including disordered, gel, phase-separated, and a novel percolating network phase.
Area of Science:
- Soft matter physics
- Computational physics
- Chemical physics
Background:
- Active matter systems exhibit complex behaviors driven by self-propulsion.
- Attractive interactions can significantly alter phase transitions in physical systems.
- Understanding phase diagrams is crucial for predicting material properties and dynamics.
Purpose of the Study:
- To investigate the phase behavior and dynamics of a 3D active dumbbell system with attractive interactions.
- To construct a detailed phase diagram by varying activity, density, and attraction strength.
- To identify and characterize novel phases and dynamical behaviors.
Main Methods:
- Comprehensive numerical simulations of a three-dimensional active dumbbell model.
- Systematic exploration of parameter space including activity, density, and attraction strength.
- Analytical descriptions of observed phenomena, particularly helical motion.
Main Results:
- Attractive interactions are essential for the emergence of nontrivial phases.
- Identified distinct phases: disordered, gel, and completely phase-separated.
- Discovered a novel dynamical phase: the percolating network, characterized by a spanning connected dumbbell network.
- Characterized the helical motion of dense clusters in the phase-separated regime.
Conclusions:
- The interplay of activity and attraction dictates the rich phase behavior of active dumbbell systems.
- The percolating network phase represents a new state of matter in active systems.
- Analytical and numerical findings provide a framework for understanding active matter self-organization.
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