Chiral order in 2D nonreciprocal flocks is generically unstable and destroyed by defect proliferation, yielding spatiotemporally chaotic dynamics with a diverging correlation length as nonreciprocity vanishes.
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Cellular Potts model simulations uncover multiscale orientational order, actin-driven flocking transitions, and phenotypic hysteresis in epithelial monolayers.
Active torques added to a turning flock model introduce non-reciprocity that enhances information transfer speed, which emerges as a function of angular velocity in the resulting non-reciprocal modified KdV equation with dissipation.
Reviews information-based approaches for measuring physical entropy in nonequilibrium steady and absorbing states, noting their distinction from general statistical entropy estimation and their application to diverse physical systems.
citing papers explorer
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Breakdown of Emergent Chiral Order and Defect Chaos in Nonreciprocal Flocks
Chiral order in 2D nonreciprocal flocks is generically unstable and destroyed by defect proliferation, yielding spatiotemporally chaotic dynamics with a diverging correlation length as nonreciprocity vanishes.
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Multiscale order, flocking and phenotypic hysteresis in the cellular Potts model of epithelia
Cellular Potts model simulations uncover multiscale orientational order, actin-driven flocking transitions, and phenotypic hysteresis in epithelial monolayers.
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Information transfer enhanced by non-reciprocity in a model of turning flocks
Active torques added to a turning flock model introduce non-reciprocity that enhances information transfer speed, which emerges as a function of angular velocity in the resulting non-reciprocal modified KdV equation with dissipation.
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Perspective: Measuring physical entropy out of equilibrium
Reviews information-based approaches for measuring physical entropy in nonequilibrium steady and absorbing states, noting their distinction from general statistical entropy estimation and their application to diverse physical systems.