Aging, memory, and nonhierarchical energy landscape of spin jam

Anjana Samarakoon, Taku J. Sato, Tianran Chen, Gai Wei Chern, Junjie Yang, Israel Klich, Ryan Sinclair, Haidong Zhou, Seung Hun Lee

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

The notion of complex energy landscape underpins the intriguing dynamical behaviors in many complex systems ranging from polymers, to brain activity, to social networks and glass transitions. The spin glass state found in dilute magnetic alloys has been an exceptionally convenient laboratory frame for studying complex dynamics resulting from a hierarchical energy landscape with rugged funnels. Here, we show, by a bulk susceptibility and Monte Carlo simulation study, that densely populated frustrated magnets in a spin jam state exhibit much weaker memory effects than spin glasses, and the characteristic properties can be reproduced by a nonhierarchical landscape with a wide and nearly flat but rough bottom. Our results illustrate that the memory effects can be used to probe different slow dynamics of glassy materials, hence opening a window to explore their distinct energy landscapes.

Original languageEnglish (US)
Pages (from-to)11806-11810
Number of pages5
JournalProceedings of the National Academy of Sciences of the United States of America
Volume113
Issue number42
DOIs
StatePublished - Oct 18 2016
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General

Keywords

  • Energy landscape
  • Memory
  • Spin glass
  • Spin jam

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