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首页> 外文期刊>Journal of Chemical and Engineering Data: the ACS Journal for Data >Evaluation of Uncertainty of Ideal-Gas Entropy and Heat Capacity Calculations by Density Functional Theory (DFT) for Molecules Containing Symmetrical Internal Rotors
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Evaluation of Uncertainty of Ideal-Gas Entropy and Heat Capacity Calculations by Density Functional Theory (DFT) for Molecules Containing Symmetrical Internal Rotors

机译:含对称内转子的分子的理想气体熵不确定性和热容量计算的密度泛函理论(DFT)评估

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摘要

The uncertainty of thermophysical data is indispensable information when reporting both experimental and calculated values. In this paper, we present an evaluation of the uncertainty of the ideal-gas entropy and heat capacity calculations by density functional theory (DFT) for molecules containing symmetrical internal rotors. The rigid-rotor harmonic oscillator (RRHO) and one-dimensional hindered rotor (1·DHR) models are compared as well as the effect of the scale factors employed. The calculations of the standard ideal-gas entropy (S~8~0) are performed for a selected set of 33 molecules for which reliable reference data were found in the literature. The RRHO model provides S~8~0 with the absolute average percentage deviations (σ_r) about 2 % from the reference data. Scaling the frequencies does not lead to any improvement when using the RRHO model. A significant improvement is achieved when the l-DHR model and scale factors for low and high frequencies are applied simultaneously (σ_rless than 0.3 %). The ideal-gas heat capacity (C_p~8~0) calculations were tested on a set of 72 molecules. The RRHO model yields C_p~(~8~0) values with σ_r up to 3 % at 300 K and 1 % at 1000 K while using the 1-DHR model coupled with a pair of scale factors lowers σ_r to less than 1.5 % and 0.S % at 300 K and 1000 K, respectively.
机译:当报告实验值和计算值时,热物理数据的不确定性是必不可少的信息。在本文中,我们通过密度泛函理论(DFT)对包含对称内部转子的分子进行了理想气体熵和热容量计算的不确定性评估。比较了刚性转子谐波振荡器(RRHO)和一维受阻转子(1·DHR)模型以及所用比例因子的影响。标准理想气体熵(S〜8〜0)的计算是针对33个分子的选定集合进行的,在文献中找到了可靠的参考数据。 RRHO模型为S〜8〜0提供了与参考数据相比大约2%的绝对平均百分比偏差(σ_r)。使用RRHO模型时,缩放频率不会导致任何改善。当同时应用l-DHR模型和低频和高频比例因子(σ_r小于0.3%)时,将实现显着改善。理想气体的热容(C_p〜8〜0)计算是在一组72个分子上进行的。 RRHO模型产生的C_p〜(〜8〜0)值在300 K时σ_r高达3%,在1000 K时σ_r高达1%,而使用1-DHR模型并结合一对比例因子将σ_r降低到小于1.5%,并且300 K和1000 K时分别为0.S%。

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