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Exploring time-dependent memory effects in matter with viscoelastic snap-through of strips.

Periodic Reporting for period 1 - TiMe (Exploring time-dependent memory effects in matter with viscoelastic snap-through of strips.)

Berichtszeitraum: 2023-05-01 bis 2025-04-30

Disordered systems such as granular materials, glass melts or crumpled paper, exhibit many stunning behaviours. One of the hallmark of such complex system is "memory effects", behaviours in which the response of the system does not depend solely on the current excitation, but also on the past ones. In particular, many of such disordered systems feature complex relaxation processes, which result in time-dependent memory effects. Yet, due to the high disorder of memory forming systems, accessing the fundamental processes behind these phenomenon has remained elusive.
The main objective of this project is a new class of model systems, based on mechanical instabilities of viscoelastic structures, with emergent time-dependent memory effects. The experimental access provided by this system offers a new mean to deeply study the relation between the physics of the system and the macroscopic emerging memory.
During the course of the project I have developped a model for a single elastic beam acting as a hysteron (based on energy methods), as well as the experimental counterpart.
I have also studied experimentally a 1D chain of elastic beams. We showed theoretically that the system can be considered as a finite state machine, capable of pattern recognition and realised experimentally such system.
Result 1 : Creation of a elastic hysteron with a single buckled beam laterally compressed. This description is a first step towards the design of new model systems. A scientific describing these resutls is currently in preparation.
Result 2 : realisation of a 1D chain of pre-buckled beam coupled in serie. We showed that their serial coupling results in antiferromagnetic interaction. We theoretically described the resulting transition graphs, and showed that they could be obtained experimentally. Finally we showed that such systems can be described as finite state machines, capable of computation. A scientific paper describing this work is in its last review phase. In future work, we will extend these ideas to more complex systems.
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