论文标题
液体内部能量和热容量在广泛的压力温度范围内的建模
Modelling of liquid internal energy and heat capacity over a wide pressure-temperature range from first principles
论文作者
论文摘要
最近,根据支持高频横向(剪切)波的能力,我们对液体和密集的超临界流体的理解取得了显着的理论进步。在这里,我们使用这些最新理论发现(液体热力学的声子理论)构建了一个新的计算机模型,以对宽压温度范围进行建模。我们已经将其应用于亚临界体和超临界方向的许多真实液体,其中液态由Frenkel系列划分。我们对实验数据的拟合在广泛的温度范围内使我们能够使用迄今为止前所未有的严谨性测试新的理论模型。我们已经量化了内部能量和热容量的预测受不同输入参数约束的程度:液体松弛时间(最初从粘度中获得),Debye Wavember和Infinite频率剪切模量。该模型已成功应用于在一系列密度和温度上输出几种不同流体(AR,NE,$ N_2 $,KR)的内部能量和热容量数据。我们发现预测的热容量对用于液体松弛时间的值极为敏感。如果直接从粘度数据中计算出这些,则在某些情况下,粘度数据中实验误差边缘的变化可能会导致热容量表现出完全不同的趋势,这是温度的函数。我们的代码在计算上是便宜的,并且可以供其他研究人员使用。
Recently there have been significant theoretical advances in our understanding of liquids and dense supercritical fluids based on their ability to support high frequency transverse (shear) waves. Here, we have constructed a new computer model using these recent theoretical findings (the phonon theory of liquid thermodynamics), to model liquid internal energy across a wide pressure-temperature range. We have applied it to a number of real liquids in both the subcritical regime and the supercritical regime, in which the liquid state is demarcated by the Frenkel line. Our fitting to experimental data in a wide pressure-temperature range has allowed us to test the new theoretical model with hitherto unprecedented rigour. We have quantified the degree to which the prediction of internal energy and heat capacity is constrained by the different input parameters: The liquid relaxation time (initially obtained from the viscosity), the Debye wavenumber and the infinite-frequency shear modulus. The model is successfully applied to output the internal energy and heat capacity data for several different fluids (Ar, Ne, $N_2$, Kr) over a range of densities and temperatures. We find that the predicted heat capacities are extremely sensitive to the values used for the liquid relaxation time. If these are calculated directly from the viscosity data then, in some cases, changes within the margins of experimental error in the viscosity data can cause the heat capacity to exhibit a completely different trend as a function of temperature. Our code is computationally inexpensive, and it is available for other researchers to use.