Gershoni-Poranne Renana
Laboratorium für Organische Chemie, ETH Zurich, Vladimir-Prelog-Weg 2, Zurich, 8093, Switzerland.
Chemistry. 2018 Mar 15;24(16):4165-4172. doi: 10.1002/chem.201705407. Epub 2018 Feb 21.
Aromatic compounds are prevalent in both nature and man-made materials, yet their properties are still not fully understood and are therefore hard to predict. Herein, we introduce an additivity scheme for the prediction of the aromatic character of polycyclic aromatic hydrocarbons. Using a small set of building blocks and combination rules, we demonstrate the simple and intuitive construction of complete NICS-XY-scans for several test cases of one- and two-dimensional systems comprising six-membered rings. Partitioning the contribution of discrete building blocks provides insight into the aromatic character of these systems. The results obtained with this methodology provide a new perspective on the distribution of ring currents within polycyclic compounds and the effect of topology on the overall aromatic profile. The concept and strategy presented here are general and highly customizable. The scheme is easily applied to a wide range of interesting systems; it is especially beneficial for the investigation of large systems, as NICS-XY-scans are useful for their predictive utility with respect to optoelectronic and thermochemical properties.
芳香族化合物在自然界和人造材料中都普遍存在,然而它们的性质仍未得到充分理解,因此难以预测。在此,我们介绍一种用于预测多环芳烃芳香性的加和方案。通过使用一小套构建单元和组合规则,我们展示了如何为包含六元环的一维和二维系统的几个测试案例简单直观地构建完整的核独立化学位移(NICS)-XY扫描。划分离散构建单元的贡献有助于深入了解这些系统的芳香性。用这种方法获得的结果为多环化合物中环电流的分布以及拓扑结构对整体芳香性的影响提供了新的视角。这里提出的概念和策略具有通用性且高度可定制。该方案很容易应用于各种有趣的系统;它对大型系统的研究特别有益,因为NICS-XY扫描对于预测其光电和热化学性质很有用。