Computational Prediction of Stacking Mode in Conductive Two-Dimensional Metal–Organic Frameworks: An Exploration of Chemical and Electrical Property Changes

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Mingyu Jeon, Minhyuk Kim, Joon-Seok Lee, Honghui Kim, Seon-Jin Choi, Hoi Ri Moon and Jihan Kim*, 
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引用次数: 3

Abstract

Conductive two-dimensional metal–organic frameworks (2D MOFs) have attracted interest as they induce strong charge delocalization and improve charge carrier mobility and concentration. However, characterizing their stacking mode depends on expensive and time-consuming experimental measurements. Here, we construct a potential energy surface (PES) map database for 36 2D MOFs using density functional theory (DFT) for the experimentally synthesized and non-synthesized 2D MOFs to predict their stacking mode. The DFT PES results successfully predict the experimentally synthesized stacking mode with an accuracy of 92.9% and explain the coexistence mechanism of dual stacking modes in a single compound. Furthermore, we analyze the chemical (i.e., host–guest interaction) and electrical (i.e., electronic structure) property changes affected by stacking mode. The DFT results show that the host–guest interaction can be enhanced by the transition from AA to AB stacking, taking H2S gas as a case study. The electronic band structure calculation confirms that as AB stacking displacement increases, the in-plane charge transport pathway is reduced while the out-of-plane charge transport pathway is maintained or even increased. These results indicate that there is a trade-off between chemical and electrical properties in accordance with the stacking mode.

Abstract Image

导电二维金属-有机骨架中堆叠模式的计算预测:化学和电学性质变化的探索
导电性二维金属有机骨架(2D MOFs)因其诱导强电荷离域和提高载流子迁移率和浓度而引起了人们的兴趣。然而,表征它们的堆叠模式依赖于昂贵且耗时的实验测量。本文利用密度泛函理论(DFT)对实验合成和非合成的二维mof构建了36个二维mof的势能面(PES)地图数据库,预测了它们的叠加模式。DFT - PES结果以92.9%的精度成功预测了实验合成的层叠模式,并解释了单一化合物中双层叠模式的共存机制。此外,我们分析了化学(即主客体相互作用)和电学(即电子结构)性质的变化受堆叠模式的影响。DFT结果表明,以H2S气体为例,从AA堆叠到AB堆叠的转变可以增强主客体相互作用。电子能带结构计算证实,随着AB叠加位移的增加,面内电荷输运路径减少,面外电荷输运路径保持甚至增加。这些结果表明,根据堆积方式,化学性质和电学性质之间存在权衡。
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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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