Quantum Theory Project, University of Florida, Gainesville, Florida 32611, USA.
J Chem Phys. 2019 Feb 21;150(7):074108. doi: 10.1063/1.5084728.
The ionization potential (IP) of a molecule quantifies the energy required to remove an electron from the system. As such, it is a fundamental quantity in the context of redox chemistry, charge transfer, and molecular electronics. The accurate theoretical prediction of this property is therefore highly desirable for virtual materials design. Furthermore, vertical IPs are of interest in the development of many-body Green's function methods like the GW formalism, as well as density functionals and semiempirical methods. In this contribution, we report over 1468 vertical valence IPs calculated with the IP variant of equation-of-motion coupled cluster theory with singles and doubles (IP-EOM-CCSD) covering 155 molecules. The purpose of this is two-fold: First, the quality of the predicted IPs is compared with respect to experiments and higher-order coupled cluster theory. This confirms the overall high accuracy and robustness of this method, with some outliers which are discussed in detail. Second, a large set of consistent theoretical reference values for vertical valence IPs are generated. This addresses a lack of reliable reference data for lower-lying valence IPs, where experimental data are often unavailable or of dubious quality. The benchmark set is then used to assess the quality of the eigenvalues predicted by different density functional approximations (via Bartlett's IP-eigenvalue theorem) and the extended Koopmans' theorem approach. The QTP family of functionals are found to be remarkably accurate, low-cost alternatives to IP-EOM-CCSD.
分子的电离能 (IP) 量化了从体系中移除电子所需的能量。因此,它是氧化还原化学、电荷转移和分子电子学背景下的基本物理量。因此,准确预测该性质对于虚拟材料设计非常重要。此外,垂直 IP 在许多体格林函数方法(如 GW 形式、密度泛函和半经验方法)的发展中也很重要。在本研究中,我们报告了超过 1468 个垂直价 IP,这些 IP 是通过带有单重和双重的方程运动耦合簇理论的 IP 变体 (IP-EOM-CCSD) 计算得到的,涵盖了 155 个分子。这样做有两个目的:首先,与实验和更高阶的耦合簇理论相比,比较预测 IP 的质量。这证实了该方法的整体高精度和稳健性,其中有一些异常值,我们将对其进行详细讨论。其次,生成了一组用于垂直价 IP 的一致理论参考值。这解决了较低价 IP 的可靠参考数据缺乏的问题,因为实验数据通常不可用或质量较差。然后,该基准集用于评估不同密度泛函近似值(通过 Bartlett 的 IP-本征值定理)和扩展 Koopmans 定理方法预测的本征值的质量。发现 QTP 系列泛函是非常准确的、低成本的 IP-EOM-CCSD 替代方法。