对非水性溶剂的软球连续溶解模型
Pradip Si1, Ajay Jayanth2, Oliviero Andreussi3
1Department of Chemistry, University of North Texas, Denton, Texas, USA.
Journal of computational chemistry
|December 19, 2023
概括
本研究系统地对100多种非水性溶剂进行软球连续溶解 (SSCS) 模型的参数化. 该模型准确地预测了溶解能,证明了它在各种化学环境中进行统一计算研究的潜力.
科学领域:
- 计算化学是一种计算化学.
- 物理化学 物理化学
- 化学物理 化学物理
背景情况:
- 溶解效应对溶液中的化学系统至关重要,影响溶解性,反应性和稳定性.
- 连续溶解模型,如自相一致的连续溶解 (SCCS) 和软球连续溶解 (SSCS),在量子化学和凝聚物质模拟中有效捕捉这些相互作用.
- 这些模型依赖于从溶剂特性或参考数据中得出的参数.
研究的目的:
- 为广泛的非水性溶剂系统地参数化SSCS模型.
- 用实验性无溶解能量和分区系数验证SSCS模型的性能.
- 评估连续溶解模型对各种溶剂环境的可转移性和预测能力.
主要方法:
- 对100多种非水性溶剂的SSCS模型进行系统参数化.
- 使用实验性无溶解能量和来自综合数据库的分区系数进行验证.
- 计算平均根平均平方误差 (RMSE) 以评估模型的准确性.
主要成果:
- 该SSCS模型成功对100多种非水性溶剂进行了参数化.
- 所有溶剂的平均RMSE为0.85 kcal/mol,低于化学准确度的门 (1 kcal/mol).
- 一个单参数模型展示了实验溶解能量的准确复制,类似于SCCS模型.
结论:
- 参数化的SSCS模型在各种非水性溶剂环境中显示出高精度和可转移性.
- 这些发现支持了统一方法的潜力,以计算预测溶解属性.
- 这项工作提高了各种化学系统在溶液中的计算研究的能力.
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