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用于高能激发态的能量特定运动方程耦合簇方法:在K边X射线吸收光谱学中的应用

Energy-Specific Equation-of-Motion Coupled-Cluster Methods for High-Energy Excited States: Application to K-edge X-ray Absorption Spectroscopy.

作者信息

Peng Bo, Lestrange Patrick J, Goings Joshua J, Caricato Marco, Li Xiaosong

机构信息

Department of Chemistry, University of Washington , Seattle, Washington 98195, United States.

Department of Chemistry, University of Kansas , Lawrence, Kansas 66045, United States.

出版信息

J Chem Theory Comput. 2015 Sep 8;11(9):4146-53. doi: 10.1021/acs.jctc.5b00459. Epub 2015 Aug 13.

Abstract

Single-reference techniques based on coupled-cluster (CC) theory, in the forms of linear response (LR) or equation of motion (EOM), are highly accurate and widely used approaches for modeling valence absorption spectra. Unfortunately, these equations with singles and doubles (LR-CCSD and EOM-CCSD) scale as O(N⁶), which may be prohibitively expensive for the study of high-energy excited states using a conventional eigensolver. In this paper, we present an energy-specific non-Hermitian eigensolver that is able to obtain high-energy excited states (e.g., XAS K-edge spectrum) at low computational cost. In addition, we also introduce an improved trial vector for iteratively solving the EOM-CCSD equation with a focus on high-energy eigenstates. The energy-specific EOM-CCSD approach and its low-scaling alternatives are applied to calculations of carbon, nitrogen, oxygen, and sulfur K-edge excitations. The results are compared to other implementations of CCSD for excited states, energy-specific linear response time-dependent density functional theory (TDDFT), and experimental results with multiple statistical metrics are presented and evaluated.

摘要

基于耦合簇(CC)理论的单参考技术,以线性响应(LR)或运动方程(EOM)的形式,是用于模拟价吸收光谱的高度准确且广泛使用的方法。不幸的是,这些含单激发和双激发的方程(LR-CCSD和EOM-CCSD)的计算量为O(N⁶),对于使用传统本征求解器研究高能激发态而言可能成本过高。在本文中,我们提出了一种能量特定的非厄米本征求解器,它能够以低计算成本获得高能激发态(例如,X射线吸收近边结构K边光谱)。此外,我们还引入了一种改进的试探向量,用于迭代求解EOM-CCSD方程,重点关注高能本征态。将能量特定的EOM-CCSD方法及其低计算量的替代方法应用于碳、氮、氧和硫K边激发的计算。将结果与用于激发态的CCSD的其他实现、能量特定的线性响应含时密度泛函理论(TDDFT)进行比较,并给出并评估了具有多个统计指标的实验结果。

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