计算自旋翻转贝特-萨尔佩特方程的自旋算子 S^2 的期望值

IF 2.9 Q3 CHEMISTRY, PHYSICAL
B A Barker, A Seshappan and D A Strubbe
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引用次数: 0

摘要

将自旋翻转(SF)方法应用于激发态方法(如贝特-萨尔佩特方程),可以获得开壳系统(如分子和固体中的缺陷)的激发能量。然而,这些解的特征状态通常不是自旋算子的特征状态。即使在激发矢量预期为三重态等简单情况下,也可能发现其值与 2.00 存在差异;这种差异被称为 "自旋污染"。必须计算每个激发矢量的期望值,以帮助确定特定激发的特征,并确定态的自旋污染量。我们的目的是首次在 SF 方法文献中提供有关公式推导及其计算实现的全面资源。在简要讨论了 SF Bethe-Salpeter 方程(BSE)的理论和一些进一步说明计算必要性的例子之后,我们介绍了用 SF-BSE 计算得出的特征向量进行计算的一般公式的推导、如何在 Python 脚本中实现该公式,以及关于该计算如何随 SF-BSE 哈密顿的大小而缩放的定时信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computation of the expectation value of the spin operator S^2 for the spin-flip Bethe–Salpeter equation
Spin-flip (SF) methods applied to excited-state approaches like the Bethe–Salpeter equation allow access to the excitation energies of open-shell systems, such as molecules and defects in solids. The eigenstates of these solutions, however, are generally not eigenstates of the spin operator . Even for simple cases where the excitation vector is expected to be, for example, a triplet state, the value of may be found to differ from 2.00; this difference is called ‘spin contamination’. The expectation values must be computed for each excitation vector, to assist with the characterization of the particular excitation and to determine the amount of spin contamination of the state. Our aim is to provide for the first time in the SF methods literature a comprehensive resource on the derivation of the formulas for as well as its computational implementation. After a brief discussion of the theory of the SF Bethe–Salpeter equation (BSE) and some examples further illustrating the need for calculating , we present the derivation for the general equation for computing with the eigenvectors from an SF-BSE calculation, how it is implemented in a Python script, and timing information on how this calculation scales with the size of the SF-BSE Hamiltonian.
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来源期刊
CiteScore
3.70
自引率
11.50%
发文量
46
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