Theoretical Aspects of Radiative Energy Transport for Nanoscale System: Thermodynamic Uncertainty

IF 0.7 4区 工程技术 Q3 MATHEMATICS, APPLIED Journal of Computational and Theoretical Transport Pub Date : 2020-12-11 DOI:10.1080/23324309.2020.1836496
A. Moldavanov
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引用次数: 3

Abstract

Abstract Knowledge of an energy functioning of nanoscale system is essential both in the theoretical description and the experimental research. One of the energy behavior aspects which is critical for nanoscale system is dependence between energy and temperature that related to so called thermodynamic uncertainty relation (TUR). Existence of thermodynamic uncertainty relation (TUR) with the meaning similar to the known ratio in quantum physics for position and momentum has been in the focus of physics community for a long time. Recently, similar relation (STUR) was shaped in statistical physics to the form of a limit on an entropy production rate for the system driven into an arbitrary nonequilibrium state. In this paper, we suggest the new model for energy balance of nanoscale systems and demonstrate its applicability for obtaining the both TUR and STUR.
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纳米系统辐射能量输运的理论方面:热力学不确定性
摘要纳米系统能量函数的知识在理论描述和实验研究中都是必不可少的。对于纳米系统来说,能量行为的一个关键方面是能量和温度之间的依赖性,这与所谓的热力学不确定性关系(TUR)有关。热力学不确定性关系(TUR)的存在,其意义类似于量子物理学中已知的位置和动量比,长期以来一直是物理学界关注的焦点。最近,在统计物理学中,类似关系(STUR)被成形为驱动到任意非平衡状态的系统的熵产生率的极限形式。在本文中,我们提出了纳米系统能量平衡的新模型,并证明了它在获得TUR和STUR方面的适用性。
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来源期刊
Journal of Computational and Theoretical Transport
Journal of Computational and Theoretical Transport Mathematics-Mathematical Physics
CiteScore
1.30
自引率
0.00%
发文量
15
期刊介绍: Emphasizing computational methods and theoretical studies, this unique journal invites articles on neutral-particle transport, kinetic theory, radiative transfer, charged-particle transport, and macroscopic transport phenomena. In addition, the journal encourages articles on uncertainty quantification related to these fields. Offering a range of information and research methodologies unavailable elsewhere, Journal of Computational and Theoretical Transport brings together closely related mathematical concepts and techniques to encourage a productive, interdisciplinary exchange of ideas.
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