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Active Brownian dynamics in a Random Lorentz gas

ORAL

Abstract

Active Brownian particles are a minimal model of both synthetic and biological active matter. Despite the simplicity of the model, its theoretical description remains incomplete in many regimes, especially at high densities. Although a dynamical mean-field theory (DMFT) of the system is then available, its analysis is hindered by the difficulty of solving the resulting equations. Using high-dimensional simulations of an active Brownian random Lorentz gas model, we extract physical insights expected to emerge from the DMFT. Our results broadly enrich the understanding of active matter.

Presenters

  • Mingyuan Zheng

    Duke University

Authors

  • Mingyuan Zheng

    Duke University

  • Patrick Charbonneau

    Duke University