Optimizing target search in smart active matter

• Applicants: Professor Dr. Hartmut Löwen; Dr. Kristian Olsen, Ph.D.
• Subject Area: Statistical Physics, Nonlinear Dynamics, Complex Systems, Soft and Fluid Matter, Biological Physics
• Term: since 2026
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 572589640

Active matter has become a central framework in non-equilibrium physics, providing insight into the behavior of self-propelled particles such as bacteria and synthetic microswimmers. While much of the existing research has focused on characterizing the dynamics, collective motion, and phase behavior of active systems, comparatively little attention has been given to their capabilities of performing search processes, in particular if the target is moving. There is an urgent need for theoretical frameworks that systematically address how search for a moving target can be enhanced by increasing the intelligence of active agents, that is, searchers being capable of processing information, adapting to environmental cues, and improving search and exploration performance through learning or memory. Our project addresses this by proposing a structured exploration of intelligent search strategies for moving targets in active matter, characterized by (i) the complexity of the intelligence and (ii) the number of agents (individual vs. swarm). Through minimal theoretical models grounded in statistical physics and non-equilibrium dynamics, we aim to identify the principles that govern efficient, adaptive target search in both individual and collective active systems, making advances toward a general understanding of smart active matter search.

• DFG Programme: Research Grants
• International Connection: Japan
• Partner Organisation: Japan Society for the Promotion of Science (JSPS)
• Cooperation Partner: Professor Dr. Mitsusuke Tarama