State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, and Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, People's Republic of China.
Department of Chemistry, Stanford University, Stanford, California 94305, USA.
J Chem Phys. 2022 Jun 7;156(21):210901. doi: 10.1063/5.0088271.
Time-dependent density functional theory (TDDFT) based approaches have been developed in recent years to model the excited-state properties and transition processes of the molecules in the gas-phase and in a condensed medium, such as in a solution and protein microenvironment or near semiconductor and metal surfaces. In the latter case, usually, classical embedding models have been adopted to account for the molecular environmental effects, leading to the multi-scale approaches of TDDFT/polarizable continuum model (PCM) and TDDFT/molecular mechanics (MM), where a molecular system of interest is designated as the quantum mechanical region and treated with TDDFT, while the environment is usually described using either a PCM or (non-polarizable or polarizable) MM force fields. In this Perspective, we briefly review these TDDFT-related multi-scale models with a specific emphasis on the implementation of analytical energy derivatives, such as the energy gradient and Hessian, the nonadiabatic coupling, the spin-orbit coupling, and the transition dipole moment as well as their nuclear derivatives for various radiative and radiativeless transition processes among electronic states. Three variations of the TDDFT method, the Tamm-Dancoff approximation to TDDFT, spin-flip DFT, and spin-adiabatic TDDFT, are discussed. Moreover, using a model system (pyridine-Ag complex), we emphasize that caution is needed to properly account for system-environment interactions within the TDDFT/MM models. Specifically, one should appropriately damp the electrostatic embedding potential from MM atoms and carefully tune the van der Waals interaction potential between the system and the environment. We also highlight the lack of proper treatment of charge transfer between the quantum mechanics and MM regions as well as the need for accelerated TDDFT modelings and interpretability, which calls for new method developments.
近年来,已经开发出基于时间依赖密度泛函理论(TDDFT)的方法来模拟气相和凝聚介质(如溶液、蛋白质微环境或半导体和金属表面附近)中分子的激发态性质和跃迁过程。在后一种情况下,通常采用经典的嵌入模型来考虑分子环境效应,从而导致 TDDFT/极化连续体模型(PCM)和 TDDFT/分子力学(MM)的多尺度方法,其中感兴趣的分子系统被指定为量子力学区域,并使用 TDDFT 进行处理,而环境通常使用 PCM 或(非极化或极化)MM 力场来描述。在这篇观点文章中,我们简要回顾了这些与 TDDFT 相关的多尺度模型,特别强调了分析能量导数(如能量梯度和 Hessian、非绝热耦合、自旋轨道耦合以及跃迁偶极矩及其核导数)的实现,以及各种电子态之间的辐射和无辐射跃迁过程。讨论了 TDDFT 方法的三种变化,即 TDDFT 的 Tamm-Dancoff 近似、自旋翻转 DFT 和自旋绝热 TDDFT。此外,我们使用模型系统(吡啶-Ag 配合物)强调了在 TDDFT/MM 模型中正确考虑系统-环境相互作用需要谨慎。具体来说,应该适当地从 MM 原子中阻尼静电嵌入势,并仔细调整系统与环境之间的范德华相互作用势能。我们还强调了在量子力学和 MM 区域之间缺乏适当处理电荷转移以及需要加速 TDDFT 建模和可解释性的问题,这需要新的方法发展。