一种信息理论方法,用于对电子密度和其他非负函数的基数组合
Alireza Tehrani1, James S M Anderson2, Debajit Chakraborty3,4
1Department of Chemistry, Queen's University, Kingston, Ontario, Canada.
Journal of computational chemistry
|August 1, 2023
概括
本研究介绍了一种使用库尔巴克-莱布勒分歧来准确近似电子密度的强有力的方法. 这种方法克服了数值问题,并使分子科学中可靠的应用成为可能.
科学领域:
- 计算化学计算化学
- 量子化学 是一个量子化学.
- 数学物理学的数学物理.
背景情况:
- 将电子密度与高斯式或斯莱特式函数相近,可能导致数值不稳定.
- 精确的电子密度表示对于各种化学和物理应用至关重要.
研究的目的:
- 开发一种可靠和高效的方法来近似电子密度.
- 为了克服密度近似的数值不良条件.
- 为各种非负的规范化函数提供一种通用方法.
主要方法:
- 使用扩展的库尔巴克-莱布勒分歧来测量目标和近似电子密度之间的偏差.
- 采用固定点代方法来优化库尔巴克-莱布勒分歧.
- 将固定点代方法与传统的梯度基础优化进行比较.
主要成果:
- 库尔巴克-莱布勒分歧方法成功克服了数值不良条件.
- 优化的密度是非负的,正常化的,并且对分子相似性,电子密度拓和整合都准确.
- 这种方法是一般的,可以适应各种非负的正常化函数.
结论:
- 库尔巴克-莱布勒分歧为电子密度近似提供了一个强大的解决方案.
- 开发的方法和相关算法 (BFit包) 是高效的,广泛适用.
- 这项工作推进了分析分子性质的计算方法.
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