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Mapping the optoelectronic property space of small aromatic molecules

机译:映射小芳族分子的光电性质空间

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Small aromatic molecules and their quinone derivatives find use in organic transistors, solar-cells, thermoelectrics, batteries and photocatalysts. These applications exploit the optoelectronic properties of these molecules and the ease by which such properties can be tuned by the introduction of heteroatoms and/or the addition of functional groups. We perform a high-throughput virtual screening using the xTB family of density functional tight-binding methods to map the optoelectronic property space of ~250,000 molecules. The large volume of data generated allows for a broad understanding of how the presence of heteroatoms and functional groups affect the ionisation potential, electron affinity and optical gap values of these molecular semiconductors, and how the structural features – on their own or in combination with one another – allow access to particular regions of the optoelectronic property space. Finally, we identify the apparent boundaries of the optoelectronic property space for these molecules: regions of property space that appear off limits for any small aromatic molecule. Computational methods are a powerful tool for rapidly searching the optoelectronic property space of organic molecules. Here the property landscape of around 250,000 arenes and quinones is systematically explored, providing guidance for the design of new functional organic molecules.
机译:小芳族分子及其醌衍生物可用于有机晶体管,太阳能电池,热电,电池和光催化剂。这些应用利用这些分子的光电性质,并且可以通过引入杂原子和/或添加官能团来调节这些性质的容易性。我们使用XTB系列的密度函数紧绑定方法进行高吞吐量虚拟筛选,以映射约250,000个分子的光电性质空间。产生的大量数据允许广泛地了解杂原子和官能团的存在如何影响这些分子半导体的电离电位,电子亲和力和光学间隙值,以及结构特征的方式 - 他们自己或与一个组合另一个 - 允许访问光电性质空间的特定区域。最后,我们确定了这些分子的光电性质空间的表观边界:物质空间区域出现出任何小芳族分子的限制。计算方法是一种强大的工具,用于快速搜索有机分子的光电性质空间。这里系统地探索了大约250,000个arenes和Quinones的物业景观,为新功能性有机分子的设计提供了指导。

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