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Main Authors: Muhaxheri, Gentian, Antonetti, Victoria, Santangelo, Christian D.
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2508.08174
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author Muhaxheri, Gentian
Antonetti, Victoria
Santangelo, Christian D.
author_facet Muhaxheri, Gentian
Antonetti, Victoria
Santangelo, Christian D.
contents We present a framework for analyzing collections of interacting hysterons through the lens of catastrophe theory. By modeling hysteron dynamics as a gradient system, we show how to construct hysteron transition graphs by characterizing the fold bifurcations of the dynamical system. Transition graphs represent the sequence of hysterons switching states, providing critical insights into the collective behavior of driven disordered media. Extending this analysis to higher codimension bifurcations, such as cusp bifurcations and crossings of fold curves, allows us to map out how the topology of transition graphs changes with variations in system parameters. This approach can suggest strategies for designing metamaterials capable of encoding targeted memory and computational functionalities, but it also highlights the rapid increase of design complexity with system size, further underscoring the computational challenges of controlling large hysteretic systems.
format Preprint
id arxiv_https___arxiv_org_abs_2508_08174
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A catastrophic approach to designing interacting hysterons
Muhaxheri, Gentian
Antonetti, Victoria
Santangelo, Christian D.
Soft Condensed Matter
We present a framework for analyzing collections of interacting hysterons through the lens of catastrophe theory. By modeling hysteron dynamics as a gradient system, we show how to construct hysteron transition graphs by characterizing the fold bifurcations of the dynamical system. Transition graphs represent the sequence of hysterons switching states, providing critical insights into the collective behavior of driven disordered media. Extending this analysis to higher codimension bifurcations, such as cusp bifurcations and crossings of fold curves, allows us to map out how the topology of transition graphs changes with variations in system parameters. This approach can suggest strategies for designing metamaterials capable of encoding targeted memory and computational functionalities, but it also highlights the rapid increase of design complexity with system size, further underscoring the computational challenges of controlling large hysteretic systems.
title A catastrophic approach to designing interacting hysterons
topic Soft Condensed Matter
url https://arxiv.org/abs/2508.08174