QTAIM analysis of the bonding in anionic group 6 carbonyl selenide clusters: [Se2M3(CO)10]2- (M=Cr, Mo, W)

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-06-26 DOI:10.1007/s00894-024-06031-x
Shatha Raheem Helal Alhimidi, Muhsen Abood Muhsen Al-Ibadi, Mohammed L. Jabbar
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Abstract

Context

This research aims to offer a deeper understanding of the bonding interactions between M-Se and M-CO and how these interactions change across the group 6 transition metal series: [Se2M3(CO)10]2- (M = Cr, Mo, W). It also seeks to explore the impact of carbonyl groups on M-M interactions within the clusters. Seven criteria, which are based on QTAIM properties, have been considered and compared with the corresponding criteria in other transition metal clusters. The results confirm that no such bond critical points or bond baths occur between transition metals, which instead have 5c–7e bonding interactions delocalized over their five-membered M3(μ-Se)2 ring, as evidenced by the non-negligible nonbonding delocalization indices. The topological properties of three bond clusters, Cr-Se, Mo-Se, and W-Se, resemble those of “intermediate closed shell characters,” which combine covalent and electrostatic properties. Source function calculations indicated that the bonded Se atom contributed the most to each Cr-Se and Mo-Se bcp. The OCO atoms and nonbonded Se atoms also contributed to some extent. However, metal atoms act as sinks rather than as sources of electron density. In contrast, the majority of the metal atoms, both bonded and nonbonded, contribute to Cr-W bcps. Analysis of the delocalization indices δ(M…O) in the three clusters indicates that CO significantly contributes to Cr π-back donation in cluster 1. In contrast, no π-back donation occurs from CO to Mo or W in clusters 2 or 3, respectively.

Methods

The B3P86 hybrid functional was used for computations in the Gaussian 09 software. The LanL2DZ basis set was employed for Cr, Mo, and W, while the 6-31G (d, p) basis set was used for C, O, and Se atoms. We performed QTAIM analysis using the AIM2000 and Multiwfn packages, incorporating B3P86/WTBS for Cr, Mo, and W atoms. The 6-311++G(3df,3pd) basis set was used for C, O, and Se atoms. Additionally, we utilized the ELF and SF.

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QTAIM 分析阴离子第 6 族羰基硒化物团簇中的键合:[Se2M3(CO)10]2- (M=Cr, Mo, W)。
背景:这项研究旨在深入了解 M-Se 和 M-CO 之间的成键相互作用,以及这些相互作用在第 6 族过渡金属系列中的变化情况:[Se2M3(CO)10]2- (M = Cr、Mo、W)。研究还试图探索羰基对簇内 M-M 相互作用的影响。研究考虑了基于 QTAIM 特性的七个标准,并将其与其他过渡金属簇的相应标准进行了比较。结果证实,过渡金属之间不存在这样的成键临界点或成键浴,相反,它们的五元 M3(μ-Se)2 环上的 5c-7e 成键相互作用是分散的,不可忽略的非成键分散指数证明了这一点。Cr-Se、Mo-Se 和 W-Se 这三个键团的拓扑特性类似于 "中间闭壳特性",结合了共价和静电特性。源函数计算表明,成键的 Se 原子对 Cr-Se 和 Mo-Se bcp 的贡献最大。OCO 原子和非键合 Se 原子也有一定程度的贡献。然而,金属原子是电子密度的汇,而不是源。相反,大多数金属原子(包括成键和非成键原子)都对 Cr-W bcps 有贡献。对三个簇中的脱位指数δ(M...O)的分析表明,在簇 1 中,CO 对 Cr π-背捐赠有显著的贡献。相反,在簇 2 或簇 3 中,CO 与 Mo 或 W 之间没有发生π-反向捐赠:方法:在高斯 09 软件中使用 B3P86 混合函数进行计算。Cr、Mo 和 W 采用 LanL2DZ 基集,C、O 和 Se 原子采用 6-31G (d, p) 基集。我们使用 AIM2000 和 Multiwfn 软件包进行了 QTAIM 分析,对 Cr、Mo 和 W 原子采用了 B3P86/WTBS。C、O 和 Se 原子使用了 6-311++G(3df,3pd) 基集。此外,我们还使用了 ELF 和 SF。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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