Autonomous demon exploiting heat and information at the trajectory level

IF 3.7 2区 物理与天体物理 Q1 Physics and Astronomy Physical Review B Pub Date : 2025-01-15 DOI:10.1103/physrevb.111.045419
Juliette Monsel, Matteo Acciai, Rafael Sánchez, Janine Splettstoesser
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Abstract

We propose an electronic bipartite system consisting of a working substance, in which a refrigeration process is implemented, and of a nonthermal resource region, containing a combination of different thermal baths. In the working substance, heat is extracted from the coldest of two electronic reservoirs (refrigeration) via heat transport and particle transport through a quantum dot. This quantum dot of the working substance is capacitively coupled to the resource region. In such a setup, a finite cooling power can be obtained in the working substance, while the energy exchange with the resource region exactly cancels out, on average. At the same time, is always exchanged, even on average, due to the capacitive coupling between the two parts of the bipartite system. The proposed system therefore implements an autonomous demon with fully vanishing heat extraction from the resource. Unlike macroscopic machines, nanoscale machines exhibit large fluctuations in performance, so precision becomes an important performance quantifier. We give a comprehensive description of the thermodynamic performance of the proposed autonomous demon in terms of stochastic trajectories and of full counting statistics and demonstrate that the precision of the cooling power strongly depends on the operation principle of the device. More specifically, the interplay of information flow and counterbalancing heat flows dramatically impacts the trade-off between cooling power, efficiency, and precision. We expect this insight to be of relevance for guiding the design of energy-conversion processes exploiting nonthermal resources. Published by the American Physical Society 2025
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在轨道层面上利用热量和信息的自主恶魔
我们提出了一个由工作物质组成的电子双部分系统,其中制冷过程是实施的,以及一个非热资源区域,包含不同热浴的组合。在工作物质中,热量通过量子点的热传输和粒子传输从两个最冷的电子储存器(制冷)中提取。工作物质的量子点电容耦合到资源区域。在这种设置下,在工作物质中可以获得有限的冷却功率,而与资源区域的能量交换平均完全抵消。同时,由于两部分系统之间的电容耦合,总是交换的,甚至是平均的。因此,所提出的系统实现了一个完全消失热量从资源中提取的自主恶魔。与宏观机器不同,纳米机器表现出很大的性能波动,因此精度成为重要的性能量化指标。我们从随机轨迹和全计数统计的角度全面描述了所提出的自主妖的热力学性能,并证明了冷却功率的精度在很大程度上取决于装置的工作原理。更具体地说,信息流和平衡热流的相互作用极大地影响了冷却功率、效率和精度之间的权衡。我们希望这一见解对指导设计利用非热资源的能量转换过程具有相关性。2025年由美国物理学会出版
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来源期刊
Physical Review B
Physical Review B 物理-物理:凝聚态物理
CiteScore
6.70
自引率
32.40%
发文量
0
审稿时长
3.0 months
期刊介绍: Physical Review B (PRB) is the world’s largest dedicated physics journal, publishing approximately 100 new, high-quality papers each week. The most highly cited journal in condensed matter physics, PRB provides outstanding depth and breadth of coverage, combined with unrivaled context and background for ongoing research by scientists worldwide. PRB covers the full range of condensed matter, materials physics, and related subfields, including: -Structure and phase transitions -Ferroelectrics and multiferroics -Disordered systems and alloys -Magnetism -Superconductivity -Electronic structure, photonics, and metamaterials -Semiconductors and mesoscopic systems -Surfaces, nanoscience, and two-dimensional materials -Topological states of matter
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