后CCSD(T) 化的热化学作为一个具有挑战性的测试案例,用于评估密度函数理论和复合 Ab Initio 方法
Amir Karton1,2, Matthias Haasler3, Martin Kaupp3
1School of Science and Technology, University of New England, Armidale NSW, 2351, Australia.
概括
这项研究用先进的量子化学方法量化了多化物化合物 (ClFn) 的热化学特性. 结果揭示了这些反应性物种的标准计算方法的局限性.
科学领域:
- 量子化学是一种量子化学.
- 计算化学是一种计算化学.
- 无机化学 无机化学 无机化学
背景情况:
- 多化物化合物 (ClFn) 是高度反应性的,其化学性质是具有挑战性的探索.
- 准确的热化学数据对于了解这些物种的反应性和稳定性至关重要.
研究的目的:
- 研究ClFn物种 (n=2-6) 的热化学特性.
- 评估高层次量子化学方法的准确性,包括合集群理论,对于这些具有挑战性的系统.
- 突出密度函数理论 (DFT) 和其他复合ab initio方法在实现超价和多引用系统的化学精度方面的局限性.
主要方法:
- 高层次的热化学程序,在完整的基础设定极限下,近似单,双,三 (四) 倍激发 (CCSDT(Q)) 的合集群和单,双,三,四 (五) 倍激发 (CCSDTQ5) 的合集群的能量.
- 计算总原子化能量 (TAEs),Cl-F键解离能量 (BDEs),F消除能量,电离潜力 (IPs) 和电子亲和力 (EAs).
主要成果:
- 总原子化能量 (TAE) 显示了CCSD后 (T) 相对应效应的显著贡献.
- 高级三次激发 (CCSDT-CCSDT) 具有负面的贡献,而四倍和五倍激发具有积极和显著的贡献,通常超过化学准确度值.
- ClFn系列呈现出越来越多的超价值和多引用特征,随着'n'的增加.
结论:
- 后CCSD (T) 相对应效应对于准确的ClFn物种的热化学预测至关重要.
- 标准的DFT和许多复合的ab initio方法在实现这些复杂,高度相关的系统的化学精度方面存在局限性.
- ClF系列是评估和改进量子化学方法的关键基准.
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