Suppr超能文献

非绝热动力学模拟偶氮苯在 nπ* 和 ππ* 激发态下的波长依赖性光化学反应。

Nonadiabatic Dynamics Simulation of the Wavelength-Dependent Photochemistry of Azobenzene Excited to the nπ* and ππ* Excited States.

机构信息

Biophysics Program, Stanford University, Stanford, California 94305, United States.

Department of Chemistry and The PULSE Institute, Stanford University, Stanford, California 94305, United States.

出版信息

J Am Chem Soc. 2020 Dec 9;142(49):20680-20690. doi: 10.1021/jacs.0c09056. Epub 2020 Nov 23.

Abstract

Azobenzene is one of the most ubiquitous photoswitches in photochemistry and a prototypical model for photoisomerizing systems. Despite this, its wavelength-dependent photochemistry has puzzled researchers for decades. Upon excitation to the higher energy ππ* excited state instead of the dipole-forbidden nπ* state, the quantum yield of isomerization from - to -azobenzene is halved. The difficulties associated with unambiguously resolving this effect both experimentally and theoretically have contributed to lasting controversies regarding the photochemistry of azobenzene. Here, we systematically characterize the dynamic photoreaction pathways of azobenzene by performing first-principles simulations of the nonadiabatic dynamics following excitation to both the ππ* and the nπ* states. We demonstrate that ground-state recovery is mediated by two distinct S decay pathways: a reactive twisting pathway and an unreactive planar pathway. Increased preference for the unreactive pathway upon ππ* excitation largely accounts for the wavelength-dependent behavior observed in azobenzene.

摘要

偶氮苯是光化学中最普遍的光开关之一,也是光异构化体系的典型模型。尽管如此,其波长依赖的光化学性质几十年来一直困扰着研究人员。与禁阻的 nπ* 态相比,激发到更高能量的 ππ* 激发态会使顺式-偶氮苯异构化为反式-偶氮苯的量子产率减半。实验和理论上明确解决这一效应的困难导致了关于偶氮苯光化学的持久争议。在这里,我们通过对激发到 ππ* 和 nπ* 态后的非绝热动力学进行第一性原理模拟,系统地表征了偶氮苯的动态光反应途径。我们证明了基态恢复是由两条不同的 S 衰减途径介导的:一个是反应性的扭转途径,另一个是非反应性的平面途径。在 ππ* 激发时,更倾向于非反应性途径,这在很大程度上解释了偶氮苯中观察到的波长依赖性行为。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验