Least popular vibrational entropy model provides the best accuracy and robustness.

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL
Julia A Velmiskina, Vadim I Malyshev, Igor S Gerasimov, Michael G Medvedev
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引用次数: 0

Abstract

Vibrational contributions into free energies usually amount to several kcal/mol and can significantly affect computational predictions. However, they are generally estimated incorrectly for chemical systems in solutions because the usual (employed in ∼99% of cases) models of vibrational entropies are extremely sensitive to errors in low-lying frequencies (below 300 cm-1), and these low-lying frequencies involve solvent molecules that are usually neglected (computed implicitly) in quantum chemical calculations. We find that only one vibrational entropy approximation-the one proposed by Truhlar in 2011-which is used in only ∼2% of cases, is stable in the low-lying frequency region and does not exhibit this problem. Accordingly, this approximation shows the best accuracy and robustness on a diverse set of experimental complexation energies and can be somewhat improved even further.

最不流行的振动熵模型提供了最好的精度和鲁棒性。
振动对自由能的贡献通常达到几千卡/摩尔,并能显著影响计算预测。然而,对于溶液中的化学系统,它们的估计通常是不正确的,因为通常(约99%的情况下使用)振动熵模型对低频率(低于300 cm-1)的误差非常敏感,而这些低频率涉及在量子化学计算中通常被忽略(隐式计算)的溶剂分子。我们发现只有一种振动熵近似——Truhlar在2011年提出的近似——仅在约2%的情况下使用,在低频区域是稳定的,并且不会出现这个问题。因此,这种近似在不同的实验络合能上显示出最好的精度和鲁棒性,并且可以进一步改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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