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Multiple memory formation in glassy landscapes.

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Summary
This summary is machine-generated.

Cyclically sheared jammed packings remember shear amplitude through periodic orbits. Interactions between particle clusters explain long training times and enable multiple memory encoding.

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Area of Science:

  • Physics
  • Materials Science
  • Complex Systems

Background:

  • Jammed matter exhibits memory of past deformations.
  • Simple models of particle rearrangement fail to capture complex behaviors like long training times and multiperiodic orbits in sheared packings.

Purpose of the Study:

  • To investigate the role of interactions between rearranging particle clusters in memory formation in cyclically sheared jammed packings.
  • To develop a more comprehensive model that accounts for observed phenomena in sheared packings.

Main Methods:

  • Simulations of cyclically sheared jammed packings.
  • Modeling particle rearrangement clusters and their interactions.

Main Results:

  • Interactions between rearranging clusters are crucial for explaining long training times and multiperiod orbits.
  • Interactions enable the simultaneous encoding of multiple memories, a feat not possible with isolated cluster models.
  • These memories contain information about interaction strength, distinguishing them from transient memories in other systems.

Conclusions:

  • Interactions between clusters are essential for understanding memory in sheared jammed packings.
  • The developed model provides a more accurate representation of memory formation, including multi-memory encoding.
  • This work offers new insights into the physics of soft matter and complex systems.