接近密度函数理论的合集群精度,使用基于通用连接的等级结构
Krishnan Raghavachari1, Sarah Maier1, Eric M Collins1
1Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States.
基于连接的层次结构 (CBH) 实现了与DFT成本相结合的集群准确性. 这种方法纠正了小分子碎片中的系统错误,为各种化学应用提供了准确的预测.
科学领域:
- 计算化学计算化学
- 理论化学 理论化学
- 量子化学 是一个量子化学.
背景情况:
- 波普尔 (Pople) 的同位体键分离方案是计算分子能量的基本方法.
- 精确的计算化学通常需要昂贵的高层计算方法.
- 密度函数理论 (DFT) 方法可能会因为近似而出现系统错误.
研究的目的:
- 审查基于连接的层次结构 (CBH) 方法,以实现化学准确性.
- 为了证明CBH对广泛的有机和生物分子系统的适用性.
- 展示CBH能够提供准确的结果,无论使用的DFT函数如何.
主要方法:
- 用分子结构和连接性来概括波普尔的异体系方案.
- 作为一系列阶梯的配方,在分子碎片上增加错误取消.
- CBH应用于各种化学问题,包括反应能,键能,氧化还原潜力和pKa.
主要成果:
- 通过使用DFT.在各种应用中实现了近化学精度 (1-2kcal/mol).
- CBH有效地纠正小分子碎片中的系统错误.
- 该方法以DFT的计算成本提供了合集群的准确性.
结论:
- CBH提供了一个具有成本效益的途径,以实现高度准确的计算化学预测.
- 系统地纠正局部碎片中的错误是CBH成功的关键.
- CBH是一种适用于复杂有机和生物分子系统的多功能工具.
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