IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v627y2023ics037843712300688x.html
   My bibliography  Save this article

Energy landscapes of spin glasses on triangular Archimedean lattices

Author

Listed:
  • Biswas, Katja

Abstract

Enhanced disconnectivity graphs are compared for three different models of spin systems constrained to an Archimedean triangular lattice with periodic boundary conditions. Each spin is connected to six nearest neighbors, and the systems differ in the range of values of their bonds namely {±1}, {±1,±2} and {±1,±2,±3}. The enhanced disconnectivity graphs allow for a larger energy range to be depicted and show a clear difference in their structure for the three models. The {±1} model exhibits a banyan tree structure dominated by large dales which are almost all at the ground state. The {±1,±2} model shows a palm tree structure representative of a single funnel with dales as ground states. Whereas the {±1,±2,±3} model exhibits a double funnel structure. This indicates different accessibility of ground states and can serve as a tool for understanding the difficulties faced by optimization routines and their effectiveness. The disconnectivity graphs are further evaluated concerning the types, sizes, and distributions of the types of minima, giving a detailed insight into the structure of their energy landscape. Overall, while a smaller range of the bonds shows a narrowing range of the energy values, it also leads to a broadening of the connected energy structures.

Suggested Citation

  • Biswas, Katja, 2023. "Energy landscapes of spin glasses on triangular Archimedean lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 627(C).
  • Handle: RePEc:eee:phsmap:v:627:y:2023:i:c:s037843712300688x
    DOI: 10.1016/j.physa.2023.129133
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843712300688X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2023.129133?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:627:y:2023:i:c:s037843712300688x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.