Analytical SA-HCISCF Nuclear Gradients from Spin-Adapted Heat-Bath Configuration Interaction

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Mihkel Ugandi,  and , Michael Roemelt*, 
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引用次数: 0

Abstract

This work reports an implementation of the analytical nuclear gradients and nonadiabatic couplings with state-averaged SCF wave functions from a spin-pure selected configuration interaction (SCI) method. At the core of the implementation lies the evaluation of the Lagrange multipliers required for the variational calculation of the nuclear gradient. Using the same code infrastructure, we developed a fully CI-coupled second-order orbital optimization method. Both the calculation of the nuclear gradient and the second-order orbital optimization make use of density fitting in order to accelerate the calculation of the two-electron integrals. We demonstrate the use of analytical nuclear gradients in excited-state geometry optimizations for conjugated molecules. In addition, the first triplet excited-state geometry of a transition-metal catalyst, Fe(PDI), was optimized with up to 30 orbitals in the active space. Our results outline the capabilities of the implemented methods as well as directions for future work.

从自旋适应热浴配置相互作用分析 SA-HCISCF 核梯度
本文报道了用自旋纯选择组态相互作用(SCI)方法实现的解析核梯度和与状态平均SCF波函数的非绝热耦合。实现的核心在于核梯度变分计算所需的拉格朗日乘子的评估。在相同的代码基础上,我们开发了一个完全ci耦合的二阶轨道优化方法。为了加快双电子积分的计算速度,核梯度的计算和二阶轨道优化都采用了密度拟合。我们展示了分析核梯度在共轭分子激发态几何优化中的应用。此外,对过渡金属催化剂Fe(PDI)的第一三重态激发态几何结构进行了优化,在活性空间中有多达30个轨道。我们的结果概述了实现方法的能力以及未来工作的方向。
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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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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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