System size and boundaries determine the patterning dynamics of attracting active particles
Jan Rombouts, Michael L Zhao, Alexander Aulehla, Anna Erzberger
公開日: 2025/9/10
Abstract
Pattern formation often occurs in confined systems, yet how boundaries shape patterning dynamics is unclear. We develop techniques to analyze confinement effects in nonlocal advection-diffusion equations, which generically capture the collective dynamics of active self-attracting particles. We identify a sequence of size-controlled transitions that generate characteristic slow modes, leading to exponential increase of patterning timescales. Experimental measurements of multicellular dynamics confirm our predictions.