基于约束的轨道优化激发态方法 (COOX)

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Jörg Kussmann*, Yannick Lemke, Anthea Weinbrenner and Christian Ochsenfeld*, 
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引用次数: 0

摘要

在这项工作中,我们提出了一种在基于约束密度泛函理论(cDFT)的自洽场计算中直接计算目标电子激发态的新方法。该约束由(简化的)线性响应时变密度泛函理论计算(LR-TDDFT)中激发态差分密度的静态占位-占位和虚态-虚态部分构建而成。我们的新方法具有稳定的收敛性,能提供符合奥夫保原理的精确激发态密度,并能在限制的 SCF 内求解单子激发态,以避免自旋污染。这也允许直接应用后 SCF 电子相关方法,如 MP2 或直接 RPA 方法。我们将详细介绍基于约束的轨道优化激发态方法(COOX),并将其与类似方案进行比较。我们将对一个基准系统的激发能量的准确性进行分析,同时通过评估激发态核力和激发态结构优化来考察所得到的激发态密度的质量。我们还研究了提议的 COOX 方法在长程电荷转移激发和与基态的锥形交叉方面的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Constraint-Based Orbital-Optimized Excited State Method (COOX)

In this work, we present a novel method to directly calculate targeted electronic excited states within a self-consistent field calculation based on constrained density functional theory (cDFT). The constraint is constructed from the static occupied-occupied and virtual-virtual parts of the excited state difference density from (simplified) linear-response time-dependent density functional theory calculations (LR-TDDFT). Our new method shows a stable convergence behavior, provides an accurate excited state density adhering to the Aufbau principle, and can be solved within a restricted SCF for singlet excitations to avoid spin contamination. This also allows the straightforward application of post-SCF electron-correlation methods like MP2 or direct RPA methods. We present the details of our constraint-based orbital-optimized excited state method (COOX) and compare it to similar schemes. The accuracy of excitation energies will be analyzed for a benchmark of systems, while the quality of the resulting excited state densities is investigated by evaluating excited state nuclear forces and excited state structure optimizations. We also investigate the performance of the proposed COOX method for long-range charge transfer excitations and conical intersections with the ground-state.

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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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