Suppr超能文献

多分量轨道优化微扰理论结合密度拟合:质子化水分子簇的非谐零点能。

Multicomponent Orbital-Optimized Perturbation Theory with Density Fitting: Anharmonic Zero-Point Energies in Protonated Water Clusters.

机构信息

Department of Chemistry, Yale University, New Haven, Connecticut 06520, United States.

Center for Computational Quantum Physics, Flatiron Institute, New York, New York 10010, United States.

出版信息

J Phys Chem Lett. 2022 Jun 23;13(24):5563-5570. doi: 10.1021/acs.jpclett.2c01357. Epub 2022 Jun 13.

Abstract

Nuclear quantum effects such as zero-point energy are important in a wide range of chemical and biological processes. The nuclear-electronic orbital (NEO) framework intrinsically includes such effects by treating electrons and specified nuclei quantum mechanically on the same level. Herein, we implement the NEO scaled-opposite-spin orbital-optimized second-order Møller-Plesset perturbation theory with electron-proton correlation scaling (NEO-SOS'-OOMP2) using density fitting. This efficient implementation allows applications to larger systems with multiple quantum protons. Both the NEO-SOS'-OOMP2 method and its counterpart without orbital optimization predict proton affinities to within experimental precision and relative energies of protonated water tetramer isomers in agreement with previous NEO coupled cluster calculations. Applications to protonated water hexamers and heptamers illustrate that anharmonicity is critical for computing accurate relative energies. The NEO-SOS'-OOMP2 approach captures anharmonic zero-point energies at any geometry in a computationally efficient manner and hence will be useful for investigating reaction paths and dynamics in chemical systems.

摘要

核量子效应,如零点能,在广泛的化学和生物过程中都很重要。核-电子轨道(NEO)框架通过在同一水平上对电子和指定核量子力学处理,内在地包含了这些效应。在此,我们使用密度拟合实现了核-电子轨道优化的第二级 Møller-Plesset 微扰理论与电子-质子相关标度(NEO-SOS'-OOMP2)。这种高效的实现允许应用于具有多个量子质子的更大系统。NEO-SOS'-OOMP2 方法及其没有轨道优化的对应方法都预测质子亲和能在实验精度范围内,质子化水四聚体异构体的相对能量与之前的 NEO 耦合簇计算一致。对质子化水六聚体和庚烷的应用表明,非谐性对于计算准确的相对能量至关重要。NEO-SOS'-OOMP2 方法以计算效率的方式在任何几何形状下捕获非谐零点能,因此对于研究化学系统中的反应路径和动力学将非常有用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验