Suppr超能文献

理解与控制分子中的系间窜越

Understanding and Controlling Intersystem Crossing in Molecules.

作者信息

Marian Christel M

机构信息

Institute of Theoretical and Computational Chemistry, Heinrich Heine University, Düsseldorf 40204, Germany; email:

出版信息

Annu Rev Phys Chem. 2021 Apr 20;72:617-640. doi: 10.1146/annurev-physchem-061020-053433. Epub 2021 Feb 19.

Abstract

This review article focuses on the understanding of intersystem crossing (ISC) in molecules. It addresses readers who are interested in the phenomenon of intercombination transitions between states of different electron spin multiplicities but are not familiar with relativistic quantum chemistry. Among the spin-dependent interaction terms that enable a crossover between states of different electron spin multiplicities, spin-orbit coupling (SOC) is by far the most important. If SOC is small or vanishes by symmetry, ISC can proceed by electronic spin-spin coupling (SSC) or hyperfine interaction (HFI). Although this review discusses SSC- and HFI-based ISC, the emphasis is on SOC-based ISC. In addition to laying the theoretical foundations for the understanding of ISC, the review elaborates on the qualitative rules for estimating transition probabilities. Research on the mechanisms of ISC has experienced a major revival in recent years owing to its importance in organic light-emitting diodes (OLEDs). Exemplified by challenging case studies, chemical substitution and solvent environment effects are discussed with the aim of helping the reader to understand and thereby get a handle on the factors that steer the efficiency of ISC.

摘要

这篇综述文章聚焦于对分子中系间窜越(ISC)的理解。它面向那些对不同电子自旋多重性态之间的相互组合跃迁现象感兴趣但不熟悉相对论量子化学的读者。在能够实现不同电子自旋多重性态之间交叉的自旋相关相互作用项中,自旋 - 轨道耦合(SOC)是迄今为止最重要的。如果SOC很小或因对称性而消失,ISC可以通过电子自旋 - 自旋耦合(SSC)或超精细相互作用(HFI)进行。尽管本综述讨论了基于SSC和HFI的ISC,但重点是基于SOC的ISC。除了为理解ISC奠定理论基础外,该综述还详细阐述了估计跃迁概率的定性规则。由于ISC在有机发光二极管(OLED)中的重要性,近年来对ISC机制的研究经历了一次重大复兴。通过具有挑战性的案例研究举例说明,讨论了化学取代和溶剂环境效应,旨在帮助读者理解并从而掌握影响ISC效率的因素。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验