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arXiv 2212.00520physics.chem-ph
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多组分量子化学中的氢原子电子基组

Hydrogen-Atom Electronic Basis Sets for Multicomponent Quantum Chemistry

Irina Samsonova, Gabrielle B. Tucker, Naresh Alaal, Kurt R. Brorsen

摘要:

多组分方法是将核量子效应纳入量子化学计算的一种概念上简单的方法。在多组分方法中,电子分子轨道用原子轨道的线性组合近似来描述。这需要选择一个单粒子电子基组,在实践中,通常是一个相关一致的基组。在多组分方法的研究中,已经证明量子氢核需要大的电子基组才能精确地描述电子-核关联。然而,正如我们在这项研究中所展示的,对大电子基组的需求很大程度上是由于相关一致的电子基组没有被优化来描述核性质和电子-核相关。在这里,我们介绍了一系列的相关一致的电子基组的氢原子称为cc-pVnZ-mc与额外的基函数优化再现多组分密度泛函理论质子密度。这些新的电子基组产生更好的质子密度与更少的电子基函数比标准的相关一致的基组,并重现其他质子性质,如质子亲和力和质子激发能,即使他们没有优化这些目的。由于cc-pVnZ-mc基组在给定的精度水平下提供了更高的计算效率,因此可以在更大的系统上进行多组分多体计算。

英文摘要:

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.

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