Adaptive active matter
Models in which evolving perceptual or regulatory states determine alignment, clustering, switching and recovery.
Research area
Mathematical and computational studies of collective dynamics, memory, nonreciprocity, pattern formation and adaptive many-body systems.
Scope
This theme asks how simple local interactions produce organised behaviour across active matter, biological aggregation and coordinated agents. We study systems in which geometry, perception, memory and internal regulation are part of the dynamics rather than fixed background assumptions.
A central concern is adaptation: interacting units change while they interact. Non-Markovian feedback, emergent nonreciprocity and topological structure provide a common language for explaining switching, recovery, information retention and robust collective coordination.
Current directions
Models in which evolving perceptual or regulatory states determine alignment, clustering, switching and recovery.
Multi-timescale systems whose slow internal variables generate history-dependent collective behaviour.
Geometric and field-theoretic mechanisms for asymmetric macroscopic response.
Translation of memory, feedback and nonreciprocity into robust coordination in biological and robotic collectives.
Research record
Peer-reviewed work, chapters and current manuscripts connected with this research theme.
Physical Review E 113, 065401
https://doi.org/10.1103/kn6c-nb4lProceedings of the Royal Society A 481, 20250489
https://doi.org/10.1098/rspa.2025.0489Royal Society Open Science 11, 240794
https://doi.org/10.1098/rsos.240794arXiv:2608.04028 · under review
https://doi.org/10.48550/arXiv.2608.04028arXiv:2607.11960 · under review
https://doi.org/10.48550/arXiv.2607.11960arXiv:2510.23688 · revised 2026
https://doi.org/10.48550/arXiv.2510.23688