Department of Chemistry & Biochemistry, Department of Materials, Center for Polymers and Organic Solids, University of California Santa Barbara, California 93106, USA.
Nat Chem. 2012 Sep;4(9):699-704. doi: 10.1038/nchem.1422.
Organic semiconducting materials based on polymers and molecular systems containing an electronically delocalized structure are the basis of emerging optoelectronic technologies such as plastic solar cells and flexible transistors. For isolated molecules, guidelines exist that rely on the molecular formula to tailor the frontier (highest occupied or lowest unoccupied) molecular orbital energy levels and optical absorption profiles. Much less control can be achieved over relevant properties, however, as one makes the transition to the ensemble behaviour characteristic of the solid state. Polymeric materials are also challenging owing to the statistical description of the average number of repeat units. Here we draw attention to the limitations of molecular formulae as predictive tools for achieving properties relevant to device performances. Illustrative examples highlight the relevance of organization across multiple length scales, and how device performances--although relevant for practical applications--poorly reflect the success of molecular design.
基于聚合物和含有离域电子结构的分子体系的有机半导体材料是新兴光电技术的基础,如塑料太阳能电池和柔性晶体管。对于孤立分子,存在一些基于分子公式的指导方针,可以调整前沿(最高占据或最低未占据)分子轨道能级和光学吸收谱。然而,当人们过渡到固态特征的整体行为时,对相关性质的控制就会少得多。聚合材料也具有挑战性,因为需要对重复单元的平均数量进行统计描述。在这里,我们提请注意分子公式作为实现与器件性能相关的性质的预测工具的局限性。说明性示例突出了跨多个长度尺度的组织的相关性,以及尽管与实际应用相关,但器件性能如何不能很好地反映分子设计的成功。