IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Laura Alfonso-Hernandez, Victor M. Freixas, Tammie Gibson, Sergei Tretiak, Sebastian Fernandez-Alberti
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引用次数: 0

摘要

电子和振动弛豫过程可以通过引入能更有效地引导过剩能量的替代途径进行优化和调整。相互作用的分子系统集合体有助于克服弛豫过程中中间激发态之间巨大的能量差距所造成的瓶颈。通过采用这种策略,由机械互锁的碳纳米结构组成的催烷很有希望成为实现更高效电子器件的新材料。在此,我们对不同的全苯猫烷进行了非绝热激发态分子动力学研究。我们观察到,与单个单元相比,联苯烷的弛豫速度更快。耦合的联苯烷呈现出重叠的能量流形,其中包括不同分子上空间定位的多个电子激发态,从而增加了状态密度,最终提高了能量弛豫的效率。这一结果表明,使用卡替烷是调整内部转换率的一种可行策略,以寻求将其用于新的光电应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Tuning Electronic Relaxation of Nanorings Through Their Interlocking

Tuning Electronic Relaxation of Nanorings Through Their Interlocking

Tuning Electronic Relaxation of Nanorings Through Their Interlocking

Electronic and vibrational relaxation processes can be optimized and tuned by introducing alternative pathways that channel excess energy more efficiently. An ensemble of interacting molecular systems can help overcome the bottlenecks caused by large energy gaps between intermediate excited states involved in the relaxation process. By employing this strategy, catenanes composed of mechanically interlocked carbon nanostructures show great promise as new materials for achieving higher efficiencies in electronic devices. Herein, we perform nonadiabatic excited state molecular dynamics on different all-benzene catenanes. We observe that catenanes experience faster relaxations than individual units. Coupled catenanes present overlapping energy manifolds that include several electronic excited states spatially localized on the different moieties, increasing the density of states that ultimately improve the efficiency in the energy relaxation. This result suggests the use of catenanes as a viable strategy for tuning the internal conversion rates in a quest for their utilization for new optoelectronic 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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