Suppr超能文献

探索新型[H, S, Se, Br]物种的势能面:一项高水平的第一性原理研究。

Exploring the potential energy surface of novel [H, S, Se, Br] species: a high level first principle study.

作者信息

Ramjauny S U A, Alswaidan I A, Jaufeerally-Safee N B, Rhyman L, Ramasami P

机构信息

Computational Chemistry Group, Department of Chemistry, Faculty of Science, University of Mauritius, Réduit, 80837, Mauritius.

Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.

出版信息

J Mol Model. 2017 Aug;23(8):232. doi: 10.1007/s00894-017-3410-0. Epub 2017 Jul 20.

Abstract

The characterization of the seleno-sulfide-bromo systems and the isomerization process on the [H, S, Se, Br] potential energy surface were investigated using state-of-the-art theoretical methods. The CCSD(T) and the MP2 levels of theory were employed along with the series of correlation consistent basis sets extrapolated to the complete basis set (CBS) limit in the optimization of the geometrical parameters and computation of electronic energies. The relative stability, in kcal mol, at the CCSD(T)/CBS follows the trend: HSSeBr (0) > HSeSBr (9.51) > SSeHBr (24.02) > SeSHBr (25.42). This order was observed in the previous study of the [H, S, Se, Cl] species. The structural parameters and vibrational frequencies of the [H, S, Se, Br] species are reported. This research work should be helpful to experimentalists in order to gain insights into these novel heteroatom molecules. Graphical abstract Relative energy profile (in kcal mol) using the CCSD(T)/CBS and MP2/CBS (in parentheses) method of the stationary states on the [H, S, Se, Br] PES.

摘要

利用最先进的理论方法研究了硒 - 硫化物 - 溴体系的表征以及[H, S, Se, Br]势能面上的异构化过程。在几何参数优化和电子能量计算中,采用了CCSD(T)和MP2理论水平,并结合了一系列外推至完备基组(CBS)极限的相关一致基组。在CCSD(T)/CBS水平下,以千卡每摩尔为单位的相对稳定性遵循以下趋势:HSSeBr (0) > HSeSBr (9.51) > SSeHBr (24.02) > SeSHBr (25.42)。在先前对[H, S, Se, Cl]物种的研究中也观察到了这种顺序。报告了[H, S, Se, Br]物种的结构参数和振动频率。这项研究工作应有助于实验人员深入了解这些新型杂原子分子。图形摘要 使用CCSD(T)/CBS和MP2/CBS(括号内)方法得到的[H, S, Se, Br]势能面上稳态的相对能量分布(千卡每摩尔)。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验