线性的还是循环的?天体物理相关含镁MgCnH碳链及其异构体的理论研究

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2025-01-13 DOI:10.1002/jcc.70031
A. Karolyna M. S. Gomes, Ricardo R. Oliveira, Thiago M. Cardozo, Felipe Fantuzzi
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摘要

含镁分子,包括MgC2H, MgC4H和MgC6H,已经在星际介质中被检测到,主要是由于它们的高偶极矩。然而,尽管付出了巨大的努力,MgC2m + 1H物种仍然难以捉摸。考虑到获得这些分子的实验数据的挑战,理论研究在指导它们的检测方面起着至关重要的作用。在这项工作中,我们使用密度泛函理论和耦合簇方法对MgCnH异构体(n = 4-7)进行了理论分析,以识别低洼异构体并表征其结构和电子性质。我们的研究结果表明,在整个研究系列中,对于偶数n值,全局最小几何是线性的,而对于奇数值,循环几何是有利的。此外,我们的计算强调了阴离子MgCnH -系统的稳定性增强,为未来星际介质中的天文探测提供了帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Linear or Cyclic? Theoretical Investigation of Astrophysically Relevant Magnesium-Bearing MgCnH Carbon Chains and Related Isomers

Magnesium-containing molecules, including MgC2H, MgC4H, and MgC6H, have been detected in the interstellar medium, largely facilitated by their high dipole moments. However, despite great efforts, MgC2m + 1H species remain elusive. Given the challenges in obtaining experimental data for these molecules, theoretical studies play a crucial role in guiding their detection. In this work, we present a theoretical analysis of MgCnH isomers (n = 4–7) using density functional theory and coupled-cluster methods to identify low-lying isomers and characterize their structural and electronic properties. Our findings reveal that across the entire series investigated, the global minimum geometry is linear for even values of n, whereas for odd values, a cyclic geometry is favored. Additionally, our calculations highlight the enhanced stability of anionic MgCnH systems, providing insights that could aid future astronomical detections in the interstellar medium.

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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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