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COMPUTATIONAL MODELLING OF SEEBECK COEFFICIENTS OF PT/PD THERMOCOUPLE

机译:PT / PD热电偶塞贝克系数的计算建模

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摘要

This work presents a method in molecular dynamics utilising an artificial neural network designed specifically for the modelling and prediction of thermopower in a Pt/Pd thermocouple. In molecular dynamics simulations, semi-empirical interatomic potentials are employed to compute some thermodynamic properties, i.e., enthalpy, potential energy, volume and density of the metals. Then the artificial neural network model is utilized to predict thermopower of Pt/Pd thermocouple, using the computed equilibrium properties. Predicted results are in good agreement with the existing experimental data.
机译:该工作介绍了利用专门用于PT / PD热电偶热电偶的恒温器的建模和预测的人工神经网络的分子动力学中的方法。在分子动力学模拟中,采用半经验的内部电位来计算金属的一些热力学性质,即焓,势能,体积和密度。然后使用计算的平衡性质来利用人工神经网络模型来预测Pt / Pd热电偶的热电器。预测结果与现有的实验数据吻合良好。

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