[M(Terpy)2]2+ (M = Fe, Ru, Os)配合物中MLCT跃迁的精确理论评价

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Aleksandr A. Chamkin, Elena S. Chamkina
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引用次数: 0

摘要

本研究指导了与电致变色应用相关的模型[M(terpy)2]2+ (M = Fe, Ru, Os)配合物中金属到配体电荷转移(MLCT)跃迁的可靠和经济的计算方法。我们评估了多参考摄动理论(NEVPT2和CASPT2)、DLPNO-STEOM-CCSD、ADC(2)和44个密度泛函在TD-DFT中的性能,用于计算这些系统中的垂直MLCT激发能。多参比法提供了与实验吸收最大值最一致的结果。在X2C nept (14,13)/ X2C - qzvppall水平(M = Fe, Ru和Os分别为2.368,2.710和2.684 eV)获得了最佳理论估计。DLPNO-STEOM-CCSD在[Fe(terpy)2]2+中失败,可能是由于其多引用特性。在DFT泛函中,局部meta- gga(如r2SCAN)提供了精度和计算成本之间的最佳平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Accurate Theoretical Assessment of MLCT Transitions in [M(Terpy)2]2+ (M = Fe, Ru, Os) Complexes

Accurate Theoretical Assessment of MLCT Transitions in [M(Terpy)2]2+ (M = Fe, Ru, Os) Complexes

The present study guides reliable and cost-effective computational approaches to metal-to-ligand charge transfer (MLCT) transitions in model [M(terpy)2]2+ (M = Fe, Ru, Os) complexes relevant to electrochromic applications. We evaluated the performance of multireference perturbation theories (NEVPT2 and CASPT2), DLPNO-STEOM-CCSD, ADC(2), and 44 density functionals within TD-DFT for calculating vertical MLCT excitation energies in these systems. Multireference methods provide the most consistent agreement with experimental absorption maxima. The best theoretical estimates were obtained at the X2C NEVPT(14, 13)/x2c-QZVPPall level (2.368, 2.710, and 2.684 eV for M = Fe, Ru, and Os, respectively). DLPNO-STEOM-CCSD fails for [Fe(terpy)2]2+, presumably due to its multireference character. Among DFT functionals, local meta-GGAs such as r2SCAN offer the best trade-off between accuracy and computational cost.

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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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