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高精度从头算研究类铍原子体系基态的电子密度。

High accuracy ab initio studies of electron-densities for the ground state of Be-like atomic systems.

机构信息

Faculty of Chemistry, A. Mickiewicz University, Poznań, Poland.

出版信息

J Chem Phys. 2013 Apr 28;138(16):164306. doi: 10.1063/1.4800766.

Abstract

Benchmark results for electron densities in the ground states of Li(-), Be, C(2+), Ne(6+), and Ar(14+) have been generated from very accurate variational wave functions represented in terms of extensive basis sets of exponentially correlated Gaussian functions. For Ne(6+), and Ar(14+), the upper bounds to the energies improve over previous results known from the literature. For the remaining systems our bounds are from 0.1 to 1.1 μhartree higher than the most accurate ones. We present in graphical and, partially, numerical form results both for the radial electron densities and for the difference radial density distributions (DRD) (defined with respect to the Hartree-Fock radial density) that highlight the impact of correlation effects on electron densities. Next, we have employed these DRD distributions in studies of the performance of several broadly used orbital-based quantum-chemical methods in accounting for correlation effects on the density. Our computed benchmark densities for Be have been also applied for testing the possibility of using the mathematically strict result concerning exact atomic electron densities, obtained by Ahlrichs et al. [Phys. Rev. A 23, 2106 (1981)], for the determination of the reliability range of computed densities in the long-range asymptotic region. The results obtained for Be are encouraging.

摘要

已从用指数相关高斯函数的广泛基组表示的非常精确的变分波函数中生成了 Li(-)、Be、C(2+)、Ne(6+)和 Ar(14+)基态电子密度的基准结果。对于 Ne(6+)和 Ar(14+),能量的上限优于文献中已知的先前结果。对于其余系统,我们的上限比最精确的上限高 0.1 到 1.1 μhartree。我们以图形和部分数值形式呈现了径向电子密度和径向密度分布差(DRD)(相对于 Hartree-Fock 径向密度定义)的结果,突出了相关效应对电子密度的影响。接下来,我们将这些 DRD 分布应用于研究几种广泛使用的基于轨道的量子化学方法在考虑密度相关效应方面的性能。我们计算的 Be 基准密度也用于测试使用 Ahlrichs 等人获得的关于精确原子电子密度的数学严格结果的可能性[Phys. Rev. A 23, 2106 (1981)],用于确定在长程渐近区域中计算密度的可靠性范围。对于 Be 获得的结果令人鼓舞。

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