Self-Organization, Memory, and Learning: From Driven Disordered Systems to Living Matter
Disordered systems subject to a fluctuating environment can self-organize into a complex history-dependent response, retaining a memory of the driving. In sheared amorphous solids, self-organization is established by the emergence of a persistent system of mechanical instabilities that can repeatedly be triggered by the driving, leading to a state of high mechanical reversibility. As a result of self-organization, the response of the system becomes correlated with the dynamics of its environment, which can be viewed as a sensing mechanism of the system's environment. Such phenomena emerge across a wide variety of soft matter systems, suggesting that they are generic and, hence, may depend very little on the underlying specifics. We review self-organization in driven amorphous solids, concluding with a discussion of what self-organization in driven disordered systems can teach us about how simple organisms sense and adapt to their changing environments.
Institutions
- TH Köln - University of Applied Sciences (DE)
- Centre National de la Recherche Scientifique (FR)
- Jawaharlal Nehru Centre for Advanced Scientific Research (IN)
- University of Cologne (DE)
- Institut Universitaire de France (FR)
- Université Paris Cité (FR)
- Sorbonne Université (FR)
- Heinrich Heine University Düsseldorf (DE)
- ESPCI Paris (FR)
Publication Details
- Journal
- Annual Review of Condensed Matter Physics
- Published
- 2025-12-18
- DOI
- https://doi.org/10.1146/annurev-conmatphys-082225-051908
- Primary Topic
- Micro and Nano Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.00