基于DFT函数的HOMO-LUMO间隙精确预测及其在新一代有机碲[n]螺旋烯材料中的应用

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Rahul Kumar, Rahul Kar, Dilip K. Maity
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引用次数: 0

摘要

本研究的目的是利用15种不同的DFT方法对噻吩、硒烯和碲烯基螺旋烯的HOMO-LUMO能量进行准确预测。本文使用的DFT泛函有PBE, PBE0, B3LYP, B3LYP- d, B3LYP- d3, M06, MN15, HSE06, LC- blyp, CAM-B3LYP, LC-ωPBE, ωΒ97XD和B2PLYP。将DFT HOMO-LUMO间隙与理论CCSD(T)级计算的基本间隙进行了比较。LANL2DZ基集用于碲原子,6-311 ++G(d,p)基集用于其他元素。统计误差分析表明,利用ωB97XD函数可以准确地获得HOMO-LUMO能隙,并在相同的理论水平上进行几何优化。然而,使用B3LYP泛函进行几何优化,然后使用ωB97XD泛函进行单点能量计算,为能隙预测提供了一种更经济、精度相似的方法。telluro[n]螺旋烯([n]TeH)的HOMO-LUMO间隙与它们的S-和se类似物相比红移。与S-和se类似物相比,碲苯基螺旋烯([n]TeH)体系容易氧化。二聚化研究发现取代的[7]TeH•+在二氯甲烷中比S-和se -类似物更稳定。CAM-B3LYP和ωΒ97XD官能团与TDDFT程序一起用于探索[n]TeH自由基阳离子的激发态。这些自由基阳离子体系比S-和se体系具有更好的红外吸收性能。总的来说,我们的基准研究可以准确预测[n]TeH的HOMO-LUMO间隙。此外,该研究还证明了碲基螺旋结构在创造多功能下一代有机材料方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Accurate Prediction of HOMO–LUMO Gap Using DFT Functional and Application to Next-Generation Organic Telluro[n]Helicenes Materials

Accurate Prediction of HOMO–LUMO Gap Using DFT Functional and Application to Next-Generation Organic Telluro[n]Helicenes Materials

The present work purposes and establishes an accurate prediction of HOMO–LUMO energies of thiophene-, selenophene-, and tellurophene-based helicenes using 15 different DFT methodologies. DFT functionals used in this work are PBE, PBE0, B3LYP, B3LYP-D, B3LYP-D3, M06, MN15, HSE06, LC-BLYP, CAM-B3LYP, LC-ωPBE, ωΒ97XD and B2PLYP. DFT HOMO–LUMO gaps are compared with the fundamental gaps calculated at the CCSD(T) level of theory. The LANL2DZ basis set is used for tellurium atoms, and the 6–311++G(d,p) basis set is used for other elements. Statistical error analysis suggests that the HOMO–LUMO energy gaps can be accurately obtained using ωB97XD functional, with geometry optimization performed at the same theoretical level. However, geometry optimization using the B3LYP functional, followed by single-point energy calculation with the ωB97XD functional, provides a more cost-effective method with similar accuracy for energy gap prediction. HOMO–LUMO gaps of telluro[n]helicenes ([n]TeH) are redshifted compared with their S- and Se-analogs. Tellurophene-based helicenes ([n]TeH) systems are easy to oxidize in contrast to their S- and Se-analogs. Dimerization studies have found that substituted [7]TeH•+ is more stable in dichloromethane than its S- and Se-analogs. The CAM-B3LYP and ωΒ97XD functionals are used in conjunction with the TDDFT procedure to explore the excited states of [n]TeH radical cations. These radical cation systems showed better absorption in the infrared range than S- and Se-systems. Overall, our benchmarking studies lead to an accurate prediction of HOMO–LUMO gaps of [n]TeH. Further, this study demonstrates the potential of Te-based helical structures to create versatile next-generation organic materials.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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