- Published on 30 August 2023
Guest Editors: Frank Cichos, On Shun Pak, Holger Stark and Lailai Zhu
Submissions are invited for a Topical Issue of EPJ E on Endowing Active Particles with Artificial Intelligence.
There has been substantial interest in synthetic and biological active particles capable of self-propelling at small scales in recent decades. These active particles not only overcome the challenges of swimming at low Reynolds numbers, but also represent a novel class of nonequilibrium systems, exhibiting intriguing collective behaviors. Recently, the remarkable advancements and growing interest in machine learning have opened exciting opportunities for the studies of both synthetic and biological active particles. The prowess of machine learning has been leveraged in a multitude of applications, from learning novel mechanisms for generating active motion, finding optimal strategies for navigating complex environments, to generating new insights into the functioning and evolution of biological active matter.