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Researchers control interactions between material bits (hysterons) in metamaterials. This enables targeted pathways and information processing, moving beyond simple memory effects in complex systems.

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Area of Science:

  • Condensed Matter Physics
  • Materials Science
  • Metamaterials

Background:

  • Frustrated materials exhibit complex responses due to interactions between hysterons.
  • Controlling these hysteron interactions is key to designing materials with specific functionalities.
  • Understanding these interactions is crucial for advancing material-based information processing.

Purpose of the Study:

  • To demonstrate geometrically controllable antiferromagnetic-like interactions between serially configured hysterons.
  • To engineer hysteron-based metamaterials capable of realizing targeted functional pathways.
  • To establish a framework for describing and utilizing the complex responses of interacting hysterons.

Main Methods:

  • Fabrication of hysteron-based metamaterials with serial configurations.
  • Investigating hysteron interactions and their influence on material pathways.
  • Applying finite state machine (FSM) models to describe material response.
  • Implementing information processing operations within the material system.

Main Results:

  • Geometrically controllable antiferromagnetic-like interactions were observed in serially arranged hysterons.
  • Metamaterials demonstrated targeted pathways, including those deviating from return point memory.
  • The complex sequential response of interacting hysterons was successfully modeled by finite state machines.
  • Information processing tasks, such as string parsing, were performed using the material.

Conclusions:

  • A general strategy for controlling hysteron interactions in metamaterials was developed.
  • Finite state machines provide a powerful framework for characterizing complex material responses.
  • This research opens new avenues for material-based information processing and computation.