Department of Chemistry, Kyungpook National University, Daegu 702-701, Korea.
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Int J Mol Sci. 2021 Apr 20;22(8):4276. doi: 10.3390/ijms22084276.
The non-adiabatic dynamics of furan excited in the * state (S in the Franck-Condon geometry) was studied using non-adiabatic molecular dynamics simulations in connection with an ensemble density functional method. The time-resolved photoelectron spectra were theoretically simulated in a wide range of electron binding energies that covered the valence as well as the core electrons. The dynamics of the decay (rise) of the photoelectron signal were compared with the excited-state population dynamics. It was observed that the photoelectron signal decay parameters at certain electron binding energies displayed a good correlation with the events occurring during the excited-state dynamics. Thus, the time profile of the photoelectron intensity of the K-shell electrons of oxygen (decay constant of 34 ± 3 fs) showed a reasonable correlation with the time of passage through conical intersections with the ground state (47 ± 2 fs). The ground-state recovery constant of the photoelectron signal (121 ± 30 fs) was in good agreement with the theoretically obtained excited-state lifetime (93 ± 9 fs), as well as with the experimentally estimated recovery time constant (ca. 110 fs). Hence, it is proposed to complement the traditional TRPES observations with the trXPS (or trNEXAFS) measurements to obtain more reliable estimates of the most mechanistically important events during the excited-state dynamics.
采用非绝热分子动力学模拟结合集合密度泛函方法研究了 * 态(Franck-Condon 几何中的 S 态)激发的呋喃的非绝热动力学。在涵盖价电子和芯电子的宽电子结合能范围内,对时间分辨光电子能谱进行了理论模拟。比较了光电子信号的衰减(上升)动力学与激发态种群动力学。观察到在某些电子结合能下,光电子信号衰减参数与激发态动力学过程中发生的事件显示出良好的相关性。因此,氧的 K 壳层电子的光电子强度时间分布(衰减常数为 34 ± 3 fs)与通过与基态的锥形交叉点的时间显示出合理的相关性(47 ± 2 fs)。光电子信号的基态恢复常数(121 ± 30 fs)与理论上获得的激发态寿命(93 ± 9 fs)以及实验上估计的恢复时间常数(约 110 fs)非常吻合。因此,建议用 trXPS(或 trNEXAFS)测量来补充传统的 TRPES 观测,以获得在激发态动力学过程中最具机械重要性的事件的更可靠估计。