聚合在分子中的方法与大分子显式相关的方法
Yuqi Wang1, Yang Guo2, Frank Neese3
1School of Chemistry and Chemical Engineering, Key Laboratory of Mesoscopic Chemistry of MOE, New Cornerstone Science Laboratory, Institute of Theoretical and Computational Chemistry, Nanjing University, Nanjing 210023, P. R. China.
Journal of chemical theory and computation
|November 3, 2023
概括
新的计算方法将明确相关的F12技术与分子中的集群 (CIM) 框架相结合,用于高效的大分子计算. 这种方法准确地模拟了分子稳定性和结合能,并减少了基数组错误.
科学领域:
- 计算化学是一种计算化学.
- 量子化学是一种量子化学.
- 分子建模分子建模
背景情况:
- 准确的分子建模对于理解化学性质至关重要.
- 由于计算成本,传统方法与大分子作斗争.
- 明确相关的F12方法可以减少基数组错误,但在计算上昂贵.
研究的目的:
- 为大分子开发高效的计算方法.
- 在分子中的集群 (CIM) 框架中整合明确相关的F12技术.
- 为了能够准确计算高达145个原子的系统的分子稳定性和结合能.
主要方法:
- 在CIM框架下开发明确相关的局部相关性方法 (MP2,CCSD,DLPNO-CCSD,DLPNO-CCSD).
- 将F12校正分解为局部分子轨道贡献.
- 在局部轨道星团内对F12贡献的独立评估.
- 适用于基C30H62,多糖酸 (Gly) 10NH2和宿主-客人复合体.
主要成果:
- 启用了F12计算,用于单个节点上最多145个原子的分子.
- 研究了C30H62合规的相对稳定性.
- 分析了多甘油酸的二次结构 ((Gly) 10NH2.2.
- 用高精度计算了宿主-客群的结合能量.
结论:
- 结合CIM和F12方法,为大分子模拟提供了强大的方法.
- 这种方法显著减少了计算中的基准设置错误.
- 它为复杂系统的精确和高效分子建模提供了一个有前途的途径.
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