Self-organization, Memory and Learning: From Driven Disordered Systems to Living Matter
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866917187499851776 |
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| author | Mungan, Muhittin Clement, Eric Vandembroucq, Damien Sastry, Srikanth |
| author_facet | Mungan, Muhittin Clement, Eric Vandembroucq, Damien Sastry, Srikanth |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2510_25367 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Self-organization, Memory and Learning: From Driven Disordered Systems to Living Matter Mungan, Muhittin Clement, Eric Vandembroucq, Damien Sastry, Srikanth Soft Condensed Matter Disordered Systems and Neural Networks Materials Science Statistical Mechanics Cell Behavior 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. |
| title | Self-organization, Memory and Learning: From Driven Disordered Systems to Living Matter |
| topic | Soft Condensed Matter Disordered Systems and Neural Networks Materials Science Statistical Mechanics Cell Behavior |
| url | https://arxiv.org/abs/2510.25367 |