Berlin 2024 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 2: Active Matter I (joint session BP/CPP/DY)
DY 2.4: Vortrag
Montag, 18. März 2024, 10:15–10:30, H 1028
A Stochastic Bubble Model in MIPS Active systems — •Mingqi Yan1,2,3,4, Erwin Frey1,4, Marcus Müller2,4, and Stefan Klumpp3,4 — 1Arnold Sommerfeld Center for Theoretical Physics and Center for NanoScience, Department of Physics, Ludwig-Maximilians-Universität München, Theresienstraße 37, D-80333 München, Germany — 2Institut für Theoretische Physik, Department of Physics, Georg-August-Universität Göttingen, Friedrich-Hund-Platz 1, D-37077 Göttingen, Germany — 3Institut für Dynamik komplexer Systeme, Department of Physics, Georg-August-Universität Göttingen, Friedrich-Hund-Platz 1, D-37077 Göttingen, Germany — 4Max Planck School Matter to Life, Hofgartenstraße 8, D-80539 München, Germany
Motility-Induced Phase Separation (MIPS) is a notable phenomenon in which self-propelled particles undergo phase separation solely due to their intrinsic motility. This behavior starkly contrasts with passive systems, where active systems constantly form bubbles in liquids. Here, we introduce a stochastic bubble model to elucidate the changes in bubble area within Active Brownian Particle systems. We demonstrate that the bubble-area evolution can be described by a Langevin equation. Notably, this equation characterizes a unique category of stochastic systems: while it possesses an absorbing state, it concurrently maintains a stable nonequilibrium steady state distribution of areas.
Keywords: Motility-Induced Phase Separation; Active Brownian Particle; Phase separation; Langevin equation; Stochastic