Kinetic Monte Carlo Algorithms for Active Matter Systems - GULLIVER
Article Dans Une Revue Physical Review Letters Année : 2021

Kinetic Monte Carlo Algorithms for Active Matter Systems

Juliane Klamser
Olivier Dauchot
Julien Tailleur

Résumé

We study kinetic Monte Carlo (KMC) descriptions of active particles. We show that, when they rely on purely persistent, active steps, their continuous-time limit is ill-defined, leading to the vanishing of trademark behaviors of active matter such as the motility-induced phase separation, ratchet effects, as well as to a diverging mechanical pressure. We then show how, under an appropriate scaling, mixing passive steps with active ones leads to a well-defined continuous-time limit that however differs from standard active dynamics. Finally, we propose new KMC algorithms whose continuous-time limits lead to the dynamics of active Ornstein-Uhlenbeck, active Brownian, and run-and-tumble particles.
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Dates et versions

hal-03840717 , version 1 (22-10-2024)

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Juliane Klamser, Olivier Dauchot, Julien Tailleur. Kinetic Monte Carlo Algorithms for Active Matter Systems. Physical Review Letters, 2021, 127 (15), pp.150602. ⟨10.1103/PhysRevLett.127.150602⟩. ⟨hal-03840717⟩
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