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  • 标题:Aging, memory, and nonhierarchical energy landscape of spin jam
  • 本地全文:下载
  • 作者:Anjana Samarakoon ; Taku J. Sato ; Tianran Chen
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2016
  • 卷号:113
  • 期号:42
  • 页码:11806-11810
  • DOI:10.1073/pnas.1608057113
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要: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.
  • 关键词:memory ; energy landscape ; spin jam ; spin glass
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