Theoretical Chemistry, Division, Institute of General, Inorganic and Theoretical Chemistry, Center for Chemistry and Biomedicine, University of Innsbruck, Innrain 80-82, A-6020 Innsbruck, Austria.
Institute of Physical Chemistry, Josef-Möller-Haus, University of Innsbruck, Innrain 52c, A-6020, Innsbruck, Austria.
Phys Chem Chem Phys. 2022 Jul 6;24(26):16207-16219. doi: 10.1039/d2cp01717b.
Anthraquinone (AQ) has long been identified as a highly promising lead structure for various applications in organic electronics. Considering the enormous number of possible substitution patterns of the AQ lead structure, with only a minority being commercially available, a systematic experimental screening of the associated electrochemical potentials represents a highly challenging and time consuming task, which can be greatly enhanced suitable virtual pre-screening techniques. In this work the calculated electrochemical reduction potentials of pristine AQ and 12 hydroxy- or/and amino-substituted AQ derivatives in ,-dimethylformamide have been correlated against newly measured experimental data. In addition to the calculations performed using density functional theory (DFT), the performance of different semi-empirical density functional tight binding (DFTB) approaches has been critically assessed. It was shown that the SCC DFTB/3ob parametrization in conjunction with the COSMO solvation model provides a highly adequate description of the electrochemical potentials also in the case of the two-fold reduced species. While the quality in the correlation against the experimental data proved to be slightly inferior compared to the employed DFT approach, the highly advantageous cost-accuracy ratio of the SCC DFTB/3ob/COSMO framework has important implications in the formulation of hierarchical screening strategies for materials associated with organic electronics. Based on the observed performance, the low-cost method provides sufficiently accurate results to execute efficient pre-screening protocols, which may then be followed by a DFT-based refinement of the best candidate structures to facilitate a systematic search for new, high-performance organic electronic materials.
蒽醌 (AQ) 长期以来一直被认为是在有机电子学的各种应用中具有很大应用前景的主导结构。考虑到 AQ 主导结构可能的取代模式数量巨大,而只有少数是商业上可获得的,因此对相关电化学势进行系统的实验筛选是一项极具挑战性和耗时的任务,可以通过适当的虚拟预筛选技术得到极大地增强。在这项工作中,计算了在,-二甲基甲酰胺中原始 AQ 和 12 羟基-或/和氨基取代的 AQ 衍生物的电化学还原势,并与新测量的实验数据进行了关联。除了使用密度泛函理论 (DFT) 进行计算外,还对不同的半经验密度泛函紧束缚 (DFTB) 方法的性能进行了严格评估。结果表明,SCC DFTB/3ob 参数化与 COSMO 溶剂化模型相结合,即使在两倍还原的物种情况下,也能对电化学势进行高度适当的描述。虽然与实验数据的相关性证明略逊于所采用的 DFT 方法,但 SCC DFTB/3ob/COSMO 框架的高成本效益比在与有机电子学相关的材料的分层筛选策略的制定中具有重要意义。基于观察到的性能,该低成本方法可以提供足够准确的结果,以执行有效的预筛选协议,然后可以通过基于 DFT 的最佳候选结构的细化来促进新的高性能有机电子材料的系统搜索。