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通过使用零阶混合参考(MR)约化密度矩阵,在线性响应形式理论中消除自旋翻转含时密度泛函理论的自旋污染。

Eliminating spin-contamination of spin-flip time dependent density functional theory within linear response formalism by the use of zeroth-order mixed-reference (MR) reduced density matrix.

机构信息

Department of Chemistry, Seoul National University, Seoul 151-747, South Korea.

Department of Chemistry, School of Natural Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, South Korea.

出版信息

J Chem Phys. 2018 Sep 14;149(10):104101. doi: 10.1063/1.5044202.

DOI:10.1063/1.5044202
PMID:30219009
Abstract

The use of the mixed reference (MR) reduced density matrix, which combines reduced density matrices of the = +1 and -1 triplet-ground states, is proposed in the context of the collinear spin-flip-time-dependent density functional theory (SF-TDDFT) methodology. The time-dependent Kohn-Sham equation with the mixed state is solved by the use of spinor-like open-shell orbitals within the linear response formalism, which enables to generate additional configurations in the realm of TD-DFT. The resulting MR-SF-TDDFT computational scheme has several advantages before the conventional collinear SF-TDDFT. The spin-contamination of the response states of SF-TDDFT is nearly removed. This considerably simplifies the identification of the excited states, especially in the "black-box" type applications, such as the automatic geometry optimization, reaction path following, or molecular dynamics simulations. With the new methodology, the accuracy of the description of the excited states is improved as compared to the collinear SF-TDDFT. Several test examples, which include systems typified by strong non-dynamic correlation, orbital (near) degeneracy, and conical intersections, are given to illustrate the performance of the new method.

摘要

在共线自旋翻转时间依赖密度泛函理论 (SF-TDDFT) 方法的背景下,提出了使用混合参考(MR)约化密度矩阵的方法,该矩阵结合了 = +1 和 -1 三重基态的约化密度矩阵。在线性响应形式中,使用类旋量的开壳轨道求解具有混合态的时变 Kohn-Sham 方程,这使得在 TD-DFT 领域中可以生成额外的构型。与传统共线 SF-TDDFT 相比,所得的 MR-SF-TDDFT 计算方案具有几个优点。SF-TDDFT 中响应态的自旋污染几乎被消除。这极大地简化了激发态的识别,特别是在“黑盒”类型的应用中,例如自动几何优化、反应路径跟踪或分子动力学模拟。与共线 SF-TDDFT 相比,新方法提高了对激发态的描述精度。给出了几个测试示例,包括具有强非动态相关、轨道(近)简并和锥形交叉的系统,以说明新方法的性能。

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