二酮吡咯二聚体的超快动力学

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Ali Al-Jaaidi, Josene M. Toldo, Mario Barbatti
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引用次数: 0

摘要

双酮吡咯(DPPs)由于其可调的光学性质和载流子迁移率而在有机光伏中具有潜在的应用前景。在这项研究中,我们利用时间依赖密度泛函理论(TDDFT)和非绝热分子动力学模拟研究了DPP二聚体的激发态动力学。我们的研究结果揭示了一个接近无障碍的氢迁移态交集,促进了超快的内部转换,其寿命约为400 fs,导致荧光猝灭。沿弛豫路径的电子密度分析证实了氢原子转移机制。这些发现强调了状态交集在DPP二聚体光物理性质中的关键作用,为设计旨在抑制非辐射衰减以提高光伏应用性能的功能化DPP系统提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Ultrafast Dynamics of Diketopyrrolopyrrole Dimers

Ultrafast Dynamics of Diketopyrrolopyrrole Dimers

Ultrafast Dynamics of Diketopyrrolopyrrole Dimers

Diketopyrrolopyrroles (DPPs) have attracted attention for their potential applications in organic photovoltaics due to their tunable optical properties and charge-carrier mobilities. In this study, we investigate the excited-state dynamics of a DPP dimer using time-dependent density functional theory (TDDFT) and nonadiabatic molecular dynamics simulations. Our results reveal a near-barrierless hydrogen migration state intersection that facilitates ultrafast internal conversion with a lifetime of about 400 fs, leading to fluorescence quenching. Electronic density analysis along the relaxation pathway confirms a hydrogen atom transfer mechanism. These findings highlight the critical role of state intersections in the photophysical properties of DPP dimers, providing new insights for the design of functionalized DPP systems aimed at suppressing nonradiative decay for enhanced performance in photovoltaic applications.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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