Avalanches in active glasses with finite persistence
Roland Wiese, Ezequiel Ferrero, Demian Levis
TL;DR
This study analyzes avalanches in dense active glasses with finite persistence under external shear, bridging active and passive yielding. Using an ABP model with tunable persistence, it shows that stress-drop distributions acquire power-law tails when activity builds correlations, with exponents spanning from around $\tau \approx 1.0$ (passive/strain-dominated) to $\tau \approx 1.2$ (active-dominated), while the persistence length sets the scale for rearrangements. The local structure of plastic events is universal across driving types, evidenced by consistent cluster statistics and fractal dimensions, though activity can reduce the number ofMobile particles needed for a given stress drop. Finite-size scaling confirms a robust, quasi-1D avalanche geometry in 2D and highlights the limitations of the random-stress observable at finite persistence. Overall, the work provides a cohesive framework linking quasistatic yielding in passive systems to active yielding, with implications for mixed active-passive materials and the design of dense active matter systems.
Abstract
We numerically investigate the statistics of avalanches in glassy systems of active particles with finite persistence, with and without an externally applied shear. In departing from the infinite-persistence limit and exploring the interplay of internal activity and external driving, we uncover when and why active and passive systems display similar avalanche statistics and where these analogies fail. We find that power-law distributed stress drops emerge only when activity builds long enough correlations, controlled by the persistence length, with exponents that vary from the purely strain-driven case, to the purely activity-driven case, in a smooth fashion. The local structure and scaling of avalanches of plastic rearrangements remains universal across both limit cases, supporting an interpretation of activity as increasing the typical size of the regions involved in a given avalanche. Our results bridge quasistatic shear strain and finite-persistence active yielding, showing that avalanches driven by self-propulsion retain the characteristic fingerprints of long-range stress propagation.
