在大型分子中估计键能量 (H-BEE):用于量子化学调查的Python程序
Mini Bharati Ahirwar1, Subodh S Khire2, Shridhar R Gadre3,4
1Department of Chemistry, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Sagar, India.
Journal of computational chemistry
|October 4, 2023
概括
我们开发了自动化键能量估计 (H-BEE) 软件,以简化分析大型分子. 这种工具使得复杂的计算速度更快,研究人员更容易获得.
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:
- 基于碎片化的分子定制方法 (MTA) 估计了键 (HB) 的能量和合作性.
- 手动应用和高计算成本限制了大型分子的MTA.
研究的目的:
- 开发用户友好的软件,用于在大分子中自动化键能量估计 (H-BEE).
- 为HB能源计算实施成本有效的近似值.
主要方法:
- 在Linux平台上使用Gaussian包使用Python开发内部软件 (H-BEE).
- 实施了两种MTA近似方法:第一个球体 (SS1) 和碎片中的碎片 (Frags-in-Frags).
主要成果:
- 该H-BEE软件自动估计个人HB能量和合作贡献.
- 实施的近似方法提供了具有成本效益的HB能源评估.
结论:
- H-BEE软件显著提高了将MTA应用于大型分子的可行性.
- 这种工具预计将对利用相关量子化学方法 (例如MP2,CCSD) 的研究具有价值.
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