Department of Chemistry, University of Zurich , Winterthurerstrasse 190, Zurich 8006, Switzerland.
Acc Chem Res. 2014 Nov 18;47(11):3310-20. doi: 10.1021/ar5001132. Epub 2014 Jun 16.
Considerable effort in the past decade has been extended toward achieving computationally affordable theoretical methods for accurate prediction of the structure and properties of materials. Theoretical predictions of solids began decades ago, but only recently have solid-state quantum techniques become sufficiently reliable to be routinely chosen for investigation of solids as quantum chemistry techniques are for isolated molecules. Of great interest are ab initio predictive theories for solids that can provide atomic scale insights into properties of bulk materials, interfaces, and nanostructures. Adaption of the quantum chemical framework is challenging in that no single theory exists that provides prediction of all observables for every material type. However, through a combination of interdisciplinary efforts, a richly textured and substantive portfolio of methods is developing, which promise quantitative predictions of materials and device properties as well as associated performance analysis. Particularly relevant for device applications are organic semiconductors (OSC), with electrical conductivity between that of insulators and that of metals. Semiconducting small molecules, such as aromatic hydrocarbons, tend to have high polarizabilities, small band-gaps, and delocalized π electrons that support mobile charge carriers. Most importantly, the special nature of optical excitations in the form of a bound electron-hole pairs (excitons) holds significant promise for use in devices, such as organic light emitting diodes (OLEDs), organic photovoltaics (OPVs), and molecular nanojunctions. Added morphological features, such as curvature in aromatic hydrocarbon structure, can further confine the electronic states in one or more directions leading to additional physical phenomena in materials. Such structures offer exploration of a wealth of phenomenology as a function of their environment, particularly due to the ability to tune their electronic character through functionalization. This Account offers discussion of current state-of-the-art electronic structure approaches for prediction of structural, electronic, optical, and transport properties of materials, with illustration of these capabilities from a series of investigations involving curved aromatic materials. The class of curved aromatic materials offers the ability to investigate methodology across a wide range of materials complexity, including (a) molecules, (b) molecular crystals, (c) molecular adsorbates on metal surfaces, and (d) molecular nanojunctions. A reliable pallet of theoretical tools for such a wide array relies on expertise spanning multiple fields. Working together with experimental experts, advancements in the fundamental understanding of structural and dynamical properties are enabling focused design of functional materials. Most importantly, these studies provide an opportunity to compare experimental and theoretical capabilities and open the way for continual improvement of these capabilities.
过去十年,人们付出了大量努力,致力于开发经济实用的理论方法,以准确预测材料的结构和性能。对固体的理论预测始于几十年前,但直到最近,固态量子技术才变得足够可靠,能够像量子化学技术用于孤立分子一样,常规地用于研究固体。人们对能够提供对大块材料、界面和纳米结构的原子尺度见解的固体的从头预测理论非常感兴趣。适应量子化学框架具有挑战性,因为没有一种单一的理论可以为每种材料类型提供所有可观测结果的预测。然而,通过跨学科努力的结合,正在开发一个丰富多彩和实质性的方法组合,有望对材料和器件性能进行定量预测,以及相关的性能分析。对于器件应用特别相关的是有机半导体(OSC),其电导率介于绝缘体和金属之间。半导体小分子,如芳烃,往往具有高极化率、小带隙和离域的π电子,支持可移动的电荷载流子。最重要的是,以束缚电子-空穴对(激子)形式的光学激发的特殊性质为基础,在器件中具有很大的应用潜力,例如有机发光二极管(OLED)、有机光伏(OPV)和分子纳结。芳香族结构的曲率等附加形态特征可以进一步将电子态限制在一个或多个方向,从而导致材料中出现额外的物理现象。这种结构提供了对丰富现象学的探索,作为其环境的函数,特别是由于通过功能化来调整其电子特性的能力。本综述讨论了预测材料的结构、电子、光学和输运性质的最新电子结构方法,并通过一系列涉及弯曲芳香族材料的研究来说明这些能力。弯曲芳香族材料的类别提供了在广泛的材料复杂性范围内研究方法的能力,包括(a)分子,(b)分子晶体,(c)金属表面上的分子吸附物,和(d)分子纳结。如此广泛的理论工具的可靠组合依赖于跨越多个领域的专业知识。与实验专家合作,对结构和动力学性质的基本理解的进展正在为功能材料的有针对性设计提供支持。最重要的是,这些研究为比较实验和理论能力提供了机会,并为不断改进这些能力开辟了道路。