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arXiv 2304.03573cond-mat.mtrl-sci
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基于平衡分子动力学的液态水塞贝克系数研究

Seebeck coefficient of liquid water from equilibrium molecular dynamics

Enrico Drigo, Stefano Baroni

AI总结:

本研究提出结合平衡分子动力学与贝叶斯推断的方案计算绝缘流体塞贝克系数,应用于液态SPC/E水的结果与既往NEMD研究吻合,且统计精度估计更可靠。

摘要:

对延展系统施加温度梯度会产生电动势,该电动势会在导体中诱导出电流,在绝缘体中诱导出宏观极化。电动势与温差的比值通常被称为塞贝克系数(Seebeck coefficient),常采用非平衡技术计算,例如非平衡分子动力学(non-equilibrium molecular dynamics, NEMD)。本文提出,绝缘流体中的热极化效应可通过标准平衡热力学便捷处理,并设计了一种结合平衡分子动力学与贝叶斯推断方法的方案,能够计算这类系统的塞贝克系数,同时对所得统计精度给出严格估计。将我们的方法应用于液态SPC/E水,结果与基于更复杂NEMD模拟的既往研究吻合良好,且对结果的统计精度给出了更可靠的估计。

英文摘要:

The application of a temperature gradient to an extended system generates an electromotive force that induces an electric current in conductors and a macroscopic polarization in insulators. The ratio of the electromotive force to the temperature difference, usually referred to as the Seebeck coefficient, is often computed using non-equilibrium techniques, such as non-equilibrium molecular dynamics (NEMD). In this paper we argue that thermo-polarization effects in insulating fluids can be conveniently treated by standard equilibrium thermodynamics and devise a protocol, based on a combination of equilibrium molecular dynamics and Bayesian inference methods, that allows one to compute the Seebeck coefficient in these systems along with a rigorous estimate of the resulting statistical accuracy. The application of our methodology to liquid SPC/E water results in good agreement with previous studies, based on more elaborate NEMD simulations, and in a more reliable estimate of the statistical accuracy of the results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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