Effect of anisotropic interactions on the heat conduction of one-dimensional chains
New Journal of Physics, ISSN: 1367-2630, Vol: 25, Issue: 12
2023
- 1Citations
- 3Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
One-dimensional (1D) chain models are frequently employed to investigate heat conduction in various systems. Despite their widespread use, there has been limited exploration of 1D chain models with anisotropic interactions. In this study, we examine heat conduction in a 1D chain model with orientation-position coupled interaction, namely the compressible XY model, and compare it with isotropic Fermi-Pasta-Ulam-Tsingou β (FPUT-β) systems. At low temperatures, the local temperatures in the translational and rotational degrees of freedom differ due to the difference in the contact thermal resistance in the two degrees of freedom. The system maintains orientational order, and the orientation-position-coupling effect lowers thermal conductivity in translational degrees of freedom. As the temperature rises above a transition point, the rotation of particles switches from oscillation to diffusion, leading to a solid-like to fluid-like transition in the rotational degree of freedom. The anisotropic interactions become negligible under time averaging, making the system’s properties similar to those of isotropic FPUT-β systems. Additionally, we investigate the system’s orientational structure to elucidate this transition. These findings will enhance our understanding of the dynamics of nanoscale anisotropic systems, such as the heat conduction of spin chains.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85180373537&origin=inward; http://dx.doi.org/10.1088/1367-2630/ad0ef0; https://iopscience.iop.org/article/10.1088/1367-2630/ad0ef0; https://dx.doi.org/10.1088/1367-2630/ad0ef0; https://validate.perfdrive.com/9730847aceed30627ebd520e46ee70b2/?ssa=48aab1df-7476-4566-a4d4-f423db7834d4&ssb=19154269273&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F1367-2630%2Fad0ef0&ssi=9dc1252c-cnvj-4dc8-9e79-3f0bd292411c&ssk=botmanager_support@radware.com&ssm=00794541903993808452744041378895975&ssn=3438a9322bf945d575d31c78622e3d83ac9211e4fc9b-fb87-4f4d-91faba&sso=6ce92121-2d7afa72fb70495502197968ad710fef2efe806b0b2f65aa&ssp=35438428241727266356172776528495065&ssq=95104248325741379018689217409796930971082&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJyZCI6ImlvcC5vcmciLCJfX3V6bWYiOiI3ZjYwMDA3ZjU2ZDllYi00NDg4LTQyYmYtYjIyMS0wOWNmOTJkYjU2MmQxNzI3Mjg5MjE3MzMwNDk0MDQwNDE2LTc5NzcyNGRkZDdkYmQ2NGI0NTI3MSIsInV6bXgiOiI3ZjkwMDA1NWY4OThjZi1hZmU5LTRhOGMtYjFmMS1lYWY4MTcxNDU3Mzc3LTE3MjcyODkyMTczMzA0OTQwNDA0MTYtYzFmMjc5MzQwYWYwN2U0MTQ1MjY4In0=
IOP Publishing
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know