Inamori Mayu, Ikabata Yasuhiro, Yoshikawa Takeshi, Nakai Hiromi
Department of Chemistry and Biochemistry, School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan.
Waseda Research Institute for Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan.
J Chem Phys. 2020 Apr 14;152(14):144108. doi: 10.1063/1.5142592.
Minimum-energy conical intersection (MECI) geometries play an important role in photophysics, photochemistry, and photobiology. In a previous study [Nakai et al., J. Phys. Chem. A 122, 8905 (2018)], frozen orbital analysis at the MECI geometries between the ground and first electronic excited states (S/S MECI), which considers the main configurations contributing to the excitation, inductively clarified two controlling factors. First, the exchange integral between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO) approximately becomes zero. Second, the HOMO-LUMO gap becomes close to the HOMO-LUMO Coulomb integral. This study applies the controlling factors to the penalty function method, which is the standard MECI optimization technique, and minimizes the energy average of the two states with the constraint that the energy gap between the states vanishes. Numerical assessments clarified that the present method could obtain the S/S MECI geometries more efficiently than the conventional one.
最低能量锥形交叉点(MECI)几何结构在光物理、光化学和光生物学中起着重要作用。在先前的一项研究中[中井等人,《物理化学杂志A》122,8905(2018)],在基态和第一电子激发态之间的MECI几何结构(S/S MECI)处进行的冻结轨道分析,考虑了对激发有贡献的主要构型,归纳出两个控制因素。第一,最高占据分子轨道(HOMO)和最低未占据分子轨道(LUMO)之间的交换积分近似变为零。第二,HOMO-LUMO能隙接近HOMO-LUMO库仑积分。本研究将这些控制因素应用于惩罚函数法,这是标准的MECI优化技术,并在两个状态之间的能隙消失的约束下,使两个状态的能量平均值最小化。数值评估表明,本方法比传统方法能更有效地获得S/S MECI几何结构。