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首页> 外文期刊>The journal of physical chemistry, C. Nanomaterials and interfaces >Formulation of Temperature-Dependent Thermal Conductivity of NaF, beta-Na3AlF6, Na5Al3F14, and Molten Na3AlF6 Supported by Equilibrium Molecular Dynamics and Density Functional Theory
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Formulation of Temperature-Dependent Thermal Conductivity of NaF, beta-Na3AlF6, Na5Al3F14, and Molten Na3AlF6 Supported by Equilibrium Molecular Dynamics and Density Functional Theory

机译:平衡分子动力学和密度泛函理论支持的NaF,β-Na3AlF6,Na5Al3F14和熔融Na3AlF6随温度变化的导热系数的公式化

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摘要

Numerical modeling of heat transport in the side ledge of a cryolite bath as a function of its thickness requires an accurate knowledge of the thermal transport properties of the cryolite bath as well as the solid phases constituting the Side ledge. Unfortunately, clue to experimental limitations, there is a lack of;experimental-data on this subject. The aim of this work is to predict these otherwise unknown properties. The thermal conductivity of major constituents of the side ledge in their solid state, namely: NaF, beta- Na3AlF6 and Na5Al5F14 as well as molten Na3AlF6 are formulated as a function of temperature. TO achieve this, we have performed a series of equilibrium molecular dynamics simulations (EMD) in both the NPT (isobar-isotherm) and NVT (canonical) statistical ensembles. The proposed approach is purely predictive as the ionic interaction potentials were parametrized on the basis of Density Functional Theory (DFT). The results are :then Compared to a theoretical model which has been shown to be a very good predictive ability for many ionic and ionocovalent compounds. For solid NO and liquid Na3AlF6, for which data are available, the predictions were found to be in excellent agreement with experiment.
机译:冰晶石浴池的侧面壁架中传热的数值模拟(取决于其厚度的函数)需要准确了解冰晶石浴池的热传递特性以及构成侧面窗架的固相。不幸的是,由于实验局限性的线索,缺乏关于该主题的实验数据。这项工作的目的是预测这些原本未知的属性。根据温度来配制侧架的主要固态成分(即NaF,β-Na3AlF6和Na5Al5F14以及熔融的Na3AlF6)的导热系数。为了实现这一目标,我们在NPT(等压线等温线)和NVT(规范)统计集合中执行了一系列平衡分子动力学模拟(EMD)。由于基于密度泛函理论(DFT)对离子相互作用势进行了参数化,因此提出的方法纯属可预测性。结果是:然后,与已证明对许多离子和离子共价化合物具有很好的预测能力的理论模型相比。对于可获得数据的固态NO和液态Na3AlF6,发现的预测与实验非常吻合。

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