非谐性
整改
玻色子
热传导
物理
自旋(空气动力学)
不对称
整流器(神经网络)
热的
传热
产量(工程)
凝聚态物理
量子力学
热力学
计算机科学
随机神经网络
机器学习
人工神经网络
循环神经网络
功率(物理)
作者
Dvira Segal,Abraham Nitzan
标识
DOI:10.1103/physrevlett.94.034301
摘要
Rectification of heat transfer in nanodevices can be realized by combining the system inherent anharmonicity with structural asymmetry. We analyze this phenomenon within the simplest anharmonic system-a spin-boson nanojunction model. We consider two variants of the model that yield, for the first time, analytical solutions: a linear separable model in which the heat reservoirs contribute additively, and a nonseparable model suitable for a stronger system-bath interaction. Both models show asymmetric (rectifying) heat conduction when the couplings to the heat reservoirs are different.
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