Training Allostery-Inspired Mechanical Response in Disordered Elastic Networks

Fuente: arXiv
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Autor principal: Gowen, Savannah D.
Formato: Preprint
Publicado: 2025
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author Gowen, Savannah D.
author_facet Gowen, Savannah D.
contents Disordered elastic networks are a model material system in which it is possible to achieve tunable and trainable functions. This work investigates the modification of local mechanical properties in disordered networks inspired by allosteric interactions in proteins: applying strain locally to a set of source nodes triggers a strain response at a distant set of target nodes. This is demonstrated first by using directed aging to modify the existing mechanical coupling between pairs of distant source and target nodes, and later as a means for inducing coupling between formerly isolated source-target pairs. The experimental results are compared with those predicted by simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2501_04838
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Training Allostery-Inspired Mechanical Response in Disordered Elastic Networks
Gowen, Savannah D.
Soft Condensed Matter
Disordered elastic networks are a model material system in which it is possible to achieve tunable and trainable functions. This work investigates the modification of local mechanical properties in disordered networks inspired by allosteric interactions in proteins: applying strain locally to a set of source nodes triggers a strain response at a distant set of target nodes. This is demonstrated first by using directed aging to modify the existing mechanical coupling between pairs of distant source and target nodes, and later as a means for inducing coupling between formerly isolated source-target pairs. The experimental results are compared with those predicted by simulations.
title Training Allostery-Inspired Mechanical Response in Disordered Elastic Networks
topic Soft Condensed Matter
url https://arxiv.org/abs/2501.04838