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计算机辅助化学设计:利用量子化学计算预测一系列卤代变色愈创蓝油烃衍生物的性质。

Computer aided chemical design: using quantum chemical calculations to predict properties of a series of halochromic guaiazulene derivatives.

作者信息

Woodward Adam W, Ghazvini Zadeh Ebrahim H, Bondar Mykhailo V, Belfield Kevin D

机构信息

Department of Chemistry , University of Central Florida , Orlando, FL 32816-2366 , USA.

Institute of Physics NASU , Prospect Nauki, 46, Kiev 03028 , Ukraine.

出版信息

R Soc Open Sci. 2016 Nov 23;3(11):160373. doi: 10.1098/rsos.160373. eCollection 2016 Nov.

Abstract

With the scientific community becoming increasingly aware of the need for greener products and methodologies, the optimization of synthetic design is of greater importance. Building on experimental data collected from a synthesized guaiazulene derivative, a series of analogous structures were investigated with time-dependent density functional theory (TD-DFT) methods in an effort to identify a compound with desirable photophysical properties. This analysis may eliminate the need to synthesize numerous materials that, when investigated, do not possess viable characteristics. The synthesis of several computationally investigated structures revealed discrepancies in the calculation results. Further refined computational study of the molecules yielded results closer to those observed experimentally and helps set the stage for computationally guided design of organic photonic materials. Three novel derivatives were synthesized from guaiazulene, a naturally occurring chromophore, exhibiting distinct halochromic behaviour, which may have potential in a switchable optoelectronic system or combined with a photoacid generator for data storage. The protonated forms were readily excitable via two-photon absorption.

摘要

随着科学界越来越意识到对更绿色产品和方法的需求,合成设计的优化变得更加重要。基于从合成的愈创木薁衍生物收集的实验数据,使用含时密度泛函理论(TD-DFT)方法研究了一系列类似结构,以努力识别具有理想光物理性质的化合物。这种分析可能无需合成大量经研究不具备可行特性的材料。对几种经计算研究的结构的合成揭示了计算结果中的差异。对这些分子进行进一步精细的计算研究得出了更接近实验观察结果的结果,并有助于为有机光子材料的计算引导设计奠定基础。从天然存在的发色团愈创木薁合成了三种新型衍生物,它们表现出独特的加酸显色行为,这在可切换光电子系统中或与光酸发生器结合用于数据存储方面可能具有潜力。质子化形式很容易通过双光子吸收被激发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7750/5180112/d5aa25056451/rsos160373-g1.jpg

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