Networks and hierarchies: How amorphous materials learn to remember

Muhittin Mungan, Srikanth Sastry, Karin Dahmen, Ido Regev

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

We consider the slow and athermal deformations of amorphous solids and show how the ensuing sequence of discrete plastic rearrangements can be mapped onto a directed network. The network topology reveals a set of highly connected regions joined by occasional one-way transitions. The highly connected regions include hierarchically organized hysteresis cycles and subcycles. At small to moderate strains this organization leads to near-perfect return point memory. The transitions in the network can be traced back to localized particle rearrangements (soft spots) that interact via Eshelby-type deformation fields. By linking topology to dynamics, the network representations provide new insight into the mechanisms that lead to reversible and irreversible behavior in amorphous solids.

Original languageEnglish
Article number178002
JournalPhysical Review Letters
Volume123
Issue number17
DOIs
StatePublished - 22 Oct 2019

ASJC Scopus subject areas

  • Physics and Astronomy (all)

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