Driven disordered spring networks settle into attractor states fine-tuned to absorb unusually little work from the specific drive, and these states are more stable than expected for their energy absorption.
Directed aging, memory and Nature's greed
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abstract
Disordered materials are often out of equilibrium and evolve very slowly. This allows a memory of the imposed strains or preparation conditions to be encoded in the material. Here we consider "directed aging", where the elastic properties of a material evolve in the direction defined by its aging history. The evolution to a lower-energy configuration is controlled by steepest decent and affects stressed regions differently from unstressed ones. This process can be considered to be a "greedy algorithm" of Nature. Our experiments and simulations illustrate directed aging in examples in which the material's elasticity evolves as a direct consequence of the imposed deformation; the material itself decides how to evolve in order to produce responses that were not present inherently in the material.
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Drive-specific adaptation in disordered mechanical networks of bistable springs
Driven disordered spring networks settle into attractor states fine-tuned to absorb unusually little work from the specific drive, and these states are more stable than expected for their energy absorption.