Fluctuation-Induced Phase Separation in Metric and Topological Models of Collective Motion.

@article{Martin2020FluctuationInducedPS,
  title={Fluctuation-Induced Phase Separation in Metric and Topological Models of Collective Motion.},
  author={David Martin and Hugues Chat{\'e} and Cesare Nardini and Alexandre Solon and Julien Tailleur and Fr{\'e}d{\'e}ric van Wijland},
  journal={Physical review letters},
  year={2020},
  volume={126 14},
  pages={
          148001
        }
}
We study the role of noise on the nature of the transition to collective motion in dry active matter. Starting from field theories that predict a continuous transition at the deterministic level, we show that fluctuations induce a density-dependent shift of the onset of order, which in turn changes the nature of the transition into a phase-separation scenario. Our results apply to a range of systems, including models in which particles interact with their "topological" neighbors that have been… 

Figures from this paper

David Martin- Research Statement

Background: My scientific interests lies in statistical physics and its broad applications to realworld phenomena, be it in population dynamic, biophysic or economy. What really attracted me to this

Emergent Metric-like States of Active Particles with Metric-free Polar Alignment

We study a model of self-propelled particles interacting with their k nearest neighbors through polar alignment. By exploring its phase space as a function of two nondimensional parameters (alignment

Aligning Active Particles Py Package

The package performs molecular-dynamics-like agent-based simulations for models of aligning self-propelled particles in two dimensions such as e.g. the seminal Vicsek model or variants of it. In one

Phase Transitions and Criticality in the Collective Behavior of Animals -- Self-organization and biological function

This chapter reviews relevant phase transitions exhibited by animal collectives and highlights the emerging view that de-emphasizes the optimality of being exactly at a critical point and explores the potential benefits of living systems being able to tune to an optimal distance from criticality.

Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware

The results constitute a new, complementary mechanism for emergent autocorrelations in networks of spiking neurons, with implications for biological and artificial networks, and introduces the general paradigm of fluctuation-induced bistability for driven systems with absorbing states.

Ultralarge-scale anomalous phase separation discovered in a Cr-Fe-Co-Ni-Zr high-entropy metallic glass system

Anomalous phase separation in metallic glasses is a longstanding issue that has been controversial since it was first implied in 1969 due to the influence of microstructure artifacts and the lack of

Fluctuating kinetic theory and fluctuating hydrodynamics of aligning active particles: the dilute limit

Kinetic and hydrodynamic theories are widely employed for describing the collective behavior of active matter systems. At the fluctuating level, these have been obtained from explicit coarse-graining

Dense polar active fluids in a disordered environment.

We examine the influence of quenched disorder on the flocking transition of dense polar active matter. We consider incompressible systems of active particles with aligning interactions under the

On the hydrodynamics of active matter models on a lattice

Active matter has been widely studied in recent years because of its rich phenomenology, whose mathematical understanding is still partial. We present some results, based on [8, 17] linking

Finite-Size Scaling at the Edge of Disorder in a Time-Delay Vicsek Model

Viktor Holubec, ∗ Daniel Geiss, 3 Sarah A.M. Loos, Klaus Kroy, and Frank Cichos Charles University, Faculty of Mathematics and Physics, Department of Macromolecular Physics, V Holešovičkách 2, CZ-180

References

SHOWING 1-10 OF 49 REFERENCES

Journal of Fluid Mechanics创刊50周年

流体力学杂志“Journal of Fluid Mechanics”由剑桥大学教授George

Flocking in complex environments—Attention trade-offs in collective information processing

A fundamental trade-off between coordination and collective responsiveness to environmental cues is observed and this work suggests novel principles for design of artificial swarms exploiting attentional bottlenecks.

Intrinsically motivated collective motion

It is found that the collective motion that emerges from this principle is similar to that seen in animal systems, and coalignment, cohesion, and collision avoidance all emerge naturally, even though none of these are encoded in the principle itself.

I and J

Group formation and cohesion of active particles with visual perception–dependent motility

It is found that a mere motility change of the individuals in response to the visual perception of their peers induces group formation and cohesion and is relevant not only for the self-organization of living systems, but also for the design of robust and scalable autonomous systems.

Dynamic response and hydrodynamics of polarized crowds

A hydrodynamic theory of polarized crowds is laid out and it is established that speed information propagates over system-spanning scales through polarized crowds, whereas orientational fluctuations are locally suppressed.

Optimized flocking of autonomous drones in confined environments

This paper numerically demonstrated that the induced swarm behavior remained stable under realistic conditions for large flock sizes and notably for large velocities, and showed that coherent and realistic collective motion patterns persisted even around perturbing obstacles.