Mixing of a binary passive particle system using smart active particles.

ABSTRACT: The controlled activity of active entities interacting with a passive environment can generate emergent system-level phenomena, positioning such systems as promising platforms for potential downstream applications in targeted drug delivery, adaptive and reconfigurable materials, microfluidic transport, and related fields. The present work aims to realise an optimal mixing of two segregated species of passive particles by introducing a small fraction of active particles ([Formula: see text] by composition) with adaptive and intelligent behaviour, directed by a trained Artificial Neural Network-based agent. While conventional run-and-tumble particles can induce mixing in the system, the smart active particles demonstrate enhanced performance, achieving faster and more efficient mixing. Inter

SUBMITTER: Jacob T 

PROVIDER: S-EPMC12830705 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature