论文标题
多组分量子化学的氢原子电子基集
Hydrogen-Atom Electronic Basis Sets for Multicomponent Quantum Chemistry
论文作者
论文摘要
多组分方法是一种概念上简单的方法,将核量子效应包括在量子化学计算中。在多组分方法中,使用原子轨道近似的线性组合描述了电子分子轨道。这需要选择一个单粒子电子基集,实际上,该集合通常是相关的基础集。在多组分方法研究中,已经证明,量子氢核需要大量的电子基集以准确描述电子核相关性。但是,正如我们在这项研究中所示,对大型电子基集的大部分需求是由于相关一致的电子基集未被优化以描述核特性和电子核相关性。本文中,我们引入了一系列称为CC-PVNZ-MC的氢原子相关的电子基集,并具有优化的其他基础函数,以重现多组分密度的功能理论质子密度。这些新的电子基集表明,与标准相关一致的基集相比,具有更少的电子基础函数的质子密度可产生更好的质子密度,并重现其他质子特性,例如质子亲和力和质子激发能,即使未针对这些目的进行优化。 CC-PVNZ-MC基集应由于提高的计算效率提供了给定准确性水平,因此应在较大系统上启用多功能计算。
Multicomponent methods are a conceptually simple way to include nuclear quantum effects into quantum chemistry calculations. In multicomponent methods, the electronic molecular orbitals are described using the linear combination of atomic orbitals approximation. This requires the selection of a one-particle electronic basis set which, in practice, is commonly a correlation-consistent basis set. In multicomponent method studies, it has been demonstrated that large electronic basis sets are required for quantum hydrogen nuclei to accurately describe electron-nuclear correlation. However, as we show in this study, much of the need for large electronic basis sets is due to the correlation-consistent electronic basis sets not being optimized to describe nuclear properties and electron-nuclear correlation. Herein, we introduce a series of correlation-consistent electronic basis sets for hydrogen atoms called cc-pVnZ-mc with additional basis functions optimized to reproduce multicomponent density functional theory protonic densities. These new electronic basis sets are shown to yield better protonic densities with fewer electronic basis functions than the standard correlation-consistent basis sets and reproduce other protonic properties such as proton affinities and protonic excitation energies, even though they were not optimized for these purposes. The cc-pVnZ-mc basis sets should enable multicomponent many-body calculations on larger systems due to the improved computational efficiency they provide for a given level of accuracy.