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Rational computing of energy levels for organic electronics: the case of 2-benzylidene-1,3-indandiones

机译:有机电子能级的合理计算:2-苄基-1,3-吲哚的情况

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摘要

Device engineering in organic electronics, an active area of research, requires knowledge of the energy levels of organic materials (traditionally but ambiguously denoted as HOMO and LUMO). These can be effectively determined by electrochemical investigation, but yet more effective would be quantum chemical (QC) computation of these quantities. However, there is no consensus on the computational method in the research community. Ongoing discussions often focus on choosing the right density functional method, but neglect other model parameters, in particular, the basis set. This study considers comparison of various methodologies and parameters for predicting ionization energy I and electron affinity A . Our aim was to outline a QC ‘recipe’ used in the search of new structures with desired energy levels for application in the field of organic electronics. Validation of calculated results to electrochemically determined values through linear regression and effect decomposition were used for compiling the recipe, ensuring trend-descriptive and resource–effective combination of QC model parameters. In particular, accounting for solvation by the medium is found to be essential and hardly consuming any additional CPU time. Basis set extension with extra valence functions is found to be much more effective than by adding diffuse functions. Among explored methods, B3LYP/6-311G(d) + CPCM is the recommended one for ionization energy, providing experimental quality results suitable for screening purposes. CAM-B3LYP is deemed more efficient for electron affinity, though by far not achieving the desired quality. Correction by computed reference redox pair potential is also found to be overall advantageous.
机译:有机电子设备中的设备工程,一个活跃的研究领域,需要了解有机材料的能量水平(传统上但含糊地表示为同性恋和卢比)。这些可以通过电化学研究有效地确定,但是更有效地是量子化学(QC)计算这些数量。但是,对研究界中的计算方法没有达成共识。正在进行的讨论通常集中在选择正确的密度功能方法,而是忽略了其他模型参数,特别是基础集。该研究考虑了用于预测电离能量I和电子亲和力a的各种方法和参数的比较。我们的目的是概述用于在有机电子领域应用的具有所需能量水平的新结构中使用的QC'Crecipe'。通过线性回归和效果分解对电化学确定值的计算结果的验证用于编译配方,确保QC模型参数的趋势描述性和资源有效组合。特别是,发现培养基溶解的核算是必不可少的,并且几乎不会消耗任何额外的CPU时间。基础设置具有额外价函数的扩展将比添加漫反射功能更有效。在探索方法中,B3LYP / 6-311G(D)+ CPCM是用于电离能量的推荐,提供适合筛选目的的实验质量结果。 CAM-B3LYP被视为为电子亲和力更有效,但到目前为止无法实现所需的质量。通过计算的参考氧化还原对势也被发现整体有利。

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