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タイトル: Nonequilibrium thermodynamics of the asymmetric Sherrington-Kirkpatrick model
著者: Aguilera, Miguel
Igarashi, Masanao
Shimazaki, Hideaki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-7794-3064 (unconfirmed)
著者名の別形: 五十嵐, 雅尚
島﨑, 秀昭
キーワード: Phase transitions and critical phenomena
Statistical physics
Thermodynamics
発行日: 23-Jun-2023
出版者: Springer Nature
誌名: Nature Communications
巻: 14
論文番号: 3685
抄録: Most natural systems operate far from equilibrium, displaying time-asymmetric, irreversible dynamics characterized by a positive entropy production while exchanging energy and matter with the environment. Although stochastic thermodynamics underpins the irreversible dynamics of small systems, the nonequilibrium thermodynamics of larger, more complex systems remains unexplored. Here, we investigate the asymmetric Sherrington-Kirkpatrick model with synchronous and asynchronous updates as a prototypical example of large-scale nonequilibrium processes. Using a path integral method, we calculate a generating functional over trajectories, obtaining exact solutions of the order parameters, path entropy, and steady-state entropy production of infinitely large networks. Entropy production peaks at critical order-disorder phase transitions, but is significantly larger for quasi-deterministic disordered dynamics. Consequently, entropy production can increase under distinct scenarios, requiring multiple thermodynamic quantities to describe the system accurately. These results contribute to developing an exact analytical theory of the nonequilibrium thermodynamics of large-scale physical and biological systems and their phase transitions.
記述: 大規模複雑ネットワークの非平衡熱力学を切り開く --非対称イジング模型のエントロピー生成の厳密解導出に成功--. 京都大学プレスリリース. 2023-06-27.
The Ising on the cake: Deciphering the thermodynamic arrow of time in large-scale complex networks. 京都大学プレスリリース. 2023-07-06.
著作権等: © The Author(s) 2023
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
URI: http://hdl.handle.net/2433/283916
DOI(出版社版): 10.1038/s41467-023-39107-y
PubMed ID: 37353499
関連リンク: https://www.kyoto-u.ac.jp/ja/research-news/2023-06-27
https://www.kyoto-u.ac.jp/en/research-news/2023-07-06
出現コレクション:学術雑誌掲載論文等

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