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A catastrophic approach to designing interacting hysterons
by
Antonetti, Victoria
, Santangelo, Christian D
, Muhaxheri, Gentian
in
Bifurcation theory
/ bifurcations
/ Catastrophe theory
/ Catastrophes
/ Dynamical systems
/ Equilibrium
/ Graphs
/ Hysteretic systems
/ hysterons
/ Metamaterials
/ Topology
/ Variables
2025
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A catastrophic approach to designing interacting hysterons
by
Antonetti, Victoria
, Santangelo, Christian D
, Muhaxheri, Gentian
in
Bifurcation theory
/ bifurcations
/ Catastrophe theory
/ Catastrophes
/ Dynamical systems
/ Equilibrium
/ Graphs
/ Hysteretic systems
/ hysterons
/ Metamaterials
/ Topology
/ Variables
2025
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Do you wish to request the book?
A catastrophic approach to designing interacting hysterons
by
Antonetti, Victoria
, Santangelo, Christian D
, Muhaxheri, Gentian
in
Bifurcation theory
/ bifurcations
/ Catastrophe theory
/ Catastrophes
/ Dynamical systems
/ Equilibrium
/ Graphs
/ Hysteretic systems
/ hysterons
/ Metamaterials
/ Topology
/ Variables
2025
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A catastrophic approach to designing interacting hysterons
Journal Article
A catastrophic approach to designing interacting hysterons
2025
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Overview
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.
Publisher
IOP Publishing
Subject
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