将溶剂效应集成到动力常数预测中,使用基于COSMO的状态方程
Francisco Paes1, Gabriel de Souza Batalha1, Fabiola Citrangolo Destro1
1CNRS, LRGP, Université de Lorraine, F-54000 Nancy, France.
Journal of chemical theory and computation
|March 25, 2025
概括
这项研究引入了一个新的预测框架,tc-PR EoS与COSMO-RS相结合,以准确计算复杂分子的液相热力学特性,从而实现更好的动力模型.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 物理化学 物理化学
- 计算化学计算化学
背景情况:
- 适应气相运动模型用于液相应用需要溶剂依赖的热力学特性.
- 状态的经典方程与非传统的溶解物如自由基和过渡状态作斗争.
- 溶解能量对于结合溶剂效应至关重要,但需要准确的液相数据.
研究的目的:
- 开发一个灵活和可预测的框架来计算液相热力学特性.
- 为了使溶剂效应能够整合到液相反应的详细动力模型中.
- 解决非传统溶液的经典状态方程的局限性.
主要方法:
- 提出了一个基于tc-PR状态方程 (EoS) 的灵活框架.
- 使用先进的混合规则将tc-PR EoS与基于量子的连续溶解模型 (COSMO-RS) 集成.
- 采用组贡献方法来估计用于预测计算的纯复合输入参数.
主要成果:
- 开发的tc-PR/COSMO-RS模型准确地预测了各种化合物的参数,包括自由基和过渡状态,平均偏差小于10%.
- 实现了高精度 (大约. 0.2 kcal/mol) 在预测H-抽象反应的溶解自由活化能量.
- 证明了该模型具有高通量和精确整合溶解效应的能力.
结论:
- 该tc-PR/COSMO-RS模型为计算液相热力学数据提供了一个强大的解决方案.
- 该框架加强了液相系统的详细运动模型的开发.
- 该模型的预测性,利用组贡献方法,为计算化学提供了显著的优势.
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