Peng Qian, Ma Huili, Shuai Zhigang
School of Chemical Sciences, University of Chinese Academy of Sciences, 100049 Beijing, P. R. China.
Key Laboraorty of Organic Solids, Institute of Chemistry of the Chinese Academy of Sciences, 100190 Beijing, P. R. China.
Acc Chem Res. 2021 Feb 16;54(4):940-949. doi: 10.1021/acs.accounts.0c00556. Epub 2020 Dec 21.
ConspectusRoom-temperature phosphorescence (RTP) with a long afterglow from purely organic molecular aggregates has recently attracted many investigations because traditionally only inorganic and transition-metal complexes can emit phosphorescence at room temperature. Purely organic molecules can exhibit phosphorescence only at cryogenic temperatures and under inert conditions in solution. However, recently, a number of organic compounds have been found to demonstrate bright RTP upon aggregation, sometimes with a remarkable morphology dependence. We intended to rationalize such aggregation-induced organic RTP through theoretical investigation and quantum chemistry calculations by invoking intermolecular interaction effects. And we have identified the molecular descriptors for the molecular design of RTP materials.In this Account, we started with the proposition of the mechanism of intermolecular electrostatic-interaction-induced RTP at the molecular level by using molecular dynamics simulations, hybrid quantum mechanics, and molecular mechanics (QM/MM) coupled with the thermal vibration correlation function (TVCF) formalism we developed earlier. The effective intermolecular electrostatic interactions could stem from a variety of interactions in different organic RTP crystals, such as hydrogen bonding, π-halogen bonding, anion-π interaction, and d-pπ bonds and so forth. We find that these interactions can change the molecular orbital compositions involved in the lowest-lying singlet and triplet excited states that are responsible for phosphorescence, either through facilitating intersystem crossing from the excited-state singlet to the triplet and/or suppressing the nonradiative decay process from the lowest triplet to the ground state. This underlying RTP mechanism is believed to be very helpful in systematically and comprehensively understanding the aggregation/crystal-induced persistent organic RTP, which has been applied to explain a number of experiments.We then propose the molecular descriptors to characterize the phosphorescence efficiency and lifetime, respectively, derived from fundamental photophysical processes and requirements to obey the El-Sayed rule and generate phosphorescence. For a prototypical RTP system consisting of a carbonyl group and π-conjugated segments, the excited states can be regarded as an admixture of n → π* (with portion α) and π → π* (with portion β). The intersystem crossing (ISC) rate of S → T is mostly governed by the modification of the product of α and β, and the nonradiative rate of T → S is determined by the β value of T. Thus, we employ γ = α × β and β to describe the phosphorescence efficiency and lifetime, respectively, which have been successfully applied in the molecular design of efficient and long-lived RTP systems in experiments. The molecular descriptors outlined in this Account, which are easily obtained from simple quantum chemistry calculations, are expected to play important roles in the machine-learning-based molecular screening in the future.
综述
来自纯有机分子聚集体的具有长余辉的室温磷光(RTP)近来吸引了众多研究,因为传统上只有无机和过渡金属配合物能够在室温下发射磷光。纯有机分子仅在低温及溶液中的惰性条件下才能展现磷光。然而,最近发现许多有机化合物在聚集时会表现出明亮的RTP,有时还具有显著的形态依赖性。我们旨在通过理论研究和量子化学计算,借助分子间相互作用效应来阐释这种聚集诱导的有机RTP。并且我们已经确定了用于RTP材料分子设计的分子描述符。
在本综述中,我们首先通过分子动力学模拟、混合量子力学和分子力学(QM/MM)并结合我们先前开发的热振动相关函数(TVCF)形式,在分子水平上提出了分子间静电相互作用诱导RTP的机制。有效的分子间静电相互作用可能源于不同有机RTP晶体中的多种相互作用,例如氢键、π-卤键作用、阴离子-π相互作用以及d-pπ键等等。我们发现这些相互作用可以改变参与磷光的最低单重态和三重态激发态所涉及的分子轨道组成,这要么是通过促进从激发态单重态到三重态的系间窜越和/或抑制从最低三重态到基态的非辐射衰变过程来实现的。这种潜在的RTP机制被认为对于系统而全面地理解聚集/晶体诱导的持久性有机RTP非常有帮助,该机制已被用于解释许多实验。
然后,我们提出了分别用于表征磷光效率和寿命的分子描述符,它们源自基本的光物理过程以及遵循埃尔-赛义德规则并产生磷光的要求。对于一个由羰基和π共轭片段组成的典型RTP系统,激发态可被视为n→π*(占比α)和π→π*(占比β)的混合态。S→T的系间窜越(ISC)速率主要由α与β的乘积的变化决定,而T→S的非辐射速率由T的β值决定。因此,我们分别采用γ =α×β和β来描述磷光效率和寿命,它们已在实验中成功应用于高效且长寿命RTP系统的分子设计。本综述中概述的分子描述符很容易从简单的量子化学计算中获得,预计在未来基于机器学习的分子筛选中发挥重要作用。