Department of Chemistry, Kansas State University, Manhattan, Kansas 66502, USA.
Software for Chemistry & Materials BV, De Boelelaan 1083, 1081 HV Amsterdam, The Netherlands.
J Chem Phys. 2023 Jun 14;158(22). doi: 10.1063/5.0142240.
Understanding photoluminescent mechanisms has become essential for photocatalytic, biological, and electronic applications. Unfortunately, analyzing excited state potential energy surfaces (PESs) in large systems is computationally expensive, and hence limited with electronic structure methods such as time-dependent density functional theory (TDDFT). Inspired by the sTDDFT and sTDA methods, time-dependent density functional theory plus tight binding (TDDFT + TB) has been shown to reproduce linear response TDDFT results much faster than TDDFT, particularly in large nanoparticles. For photochemical processes, however, methods must go beyond the calculation of excitation energies. Herein, this work outlines an analytical approach to obtain the derivative of the vertical excitation energy in TDDFT + TB for more efficient excited state PES exploration. The gradient derivation is based on the Z vector method, which utilizes an auxiliary Lagrangian to characterize the excitation energy. The gradient is obtained when the derivatives of the Fock matrix, the coupling matrix, and the overlap matrix are all plugged into the auxiliary Lagrangian, and the Lagrange multipliers are solved. This article outlines the derivation of the analytical gradient, discusses the implementation in Amsterdam Modeling Suite, and provides proof of concept by analyzing the emission energy and optimized excited state geometry calculated by TDDFT and TDDFT + TB for small organic molecules and noble metal nanoclusters.
了解光致发光机制对于光催化、生物和电子应用至关重要。不幸的是,分析大体系中的激发态势能面(PES)在计算上非常昂贵,因此受到电子结构方法(如含时密度泛函理论(TDDFT))的限制。受 sTDDFT 和 sTDA 方法的启发,含时密度泛函理论加紧束缚(TDDFT + TB)已被证明可以比 TDDFT 更快地重现线性响应 TDDFT 结果,特别是在大纳米粒子中。然而,对于光化学过程,方法必须不仅仅局限于激发能的计算。在此,这项工作概述了一种在 TDDFT + TB 中获得垂直激发能导数的分析方法,以更有效地探索激发态 PES。梯度推导基于 Z 向量方法,该方法利用辅助拉格朗日来描述激发能。当将 Fock 矩阵、耦合矩阵和重叠矩阵的导数全部插入辅助拉格朗日并求解拉格朗日乘子时,就可以得到梯度。本文概述了分析梯度的推导,讨论了在阿姆斯特丹建模套件中的实现,并通过分析小分子和贵金属纳米团簇的 TDDFT 和 TDDFT + TB 计算的发射能和优化的激发态几何结构,提供了概念验证。