Integrating Solvent Effects into the Prediction of Kinetic Constants Using a COSMO-Based Equation of State.

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2025-04-08 Epub Date: 2025-03-25 DOI:10.1021/acs.jctc.5c00133
Francisco Paes, Gabriel de Souza Batalha, Fabiola Citrangolo Destro, René Fournet, Romain Privat, Jean-Noël Jaubert, Baptiste Sirjean
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Abstract

While kinetic generators produce thermo-kinetic data for detailed gas-phase kinetic models, adapting these models for liquid-phase applications poses challenges due to the need for solvent-dependent thermodynamic properties. To bridge this gap, solvation energies are used to incorporate solvent effects into gas-phase thermo-kinetic data. However, such an adaptation depends on calculating liquid-phase data of unconventional solutes such as free radicals and transition states, which are not accessible with classical equations of states. To address this issue, this work proposes a flexible framework based on an equation of state that integrates all the latest advances of this model family and is called the tc-PR EoS. Combined with a quantum-based continuum solvation model (COSMO-RS) through an advanced mixing rule, the proposed model is made predictive by employing group contribution methods to estimate the pure compound input parameters required to perform thermodynamic calculations with the model. These parameters can be calculated for closed-shell molecules, free radicals, and transition states, with an average deviation of less than 10% with respect to the benchmark database containing experimental data as well as data obtained from quantum-based calculations and QSPR-type correlations. The tc-PR/COSMO-RS model is able to predict the solvation free energies of activation for H-abstraction reactions with an accuracy of approximately 0.2 kcal/mol, offering a high-throughput and accurate solution for integrating solvation effects into detailed kinetic models in the liquid phase.

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利用基于宇宙的状态方程将溶剂效应整合到动力学常数预测中。
虽然动力学发生器为详细的气相动力学模型提供热动力学数据,但由于需要溶剂相关的热力学性质,将这些模型应用于液相应用面临挑战。为了弥补这一差距,溶剂化能被用来将溶剂效应纳入气相热动力学数据。然而,这种适应依赖于计算非常规溶质的液相数据,如自由基和过渡态,这是经典状态方程无法获得的。为了解决这个问题,这项工作提出了一个基于状态方程的灵活框架,该框架集成了该模型家族的所有最新进展,称为tc-PR EoS。结合基于先进混合规则的基于量子的连续介质溶剂化模型(cosmos - rs),采用基团贡献方法估计模型进行热力学计算所需的纯化合物输入参数,从而使所提出的模型具有预测性。这些参数可以计算出闭壳分子、自由基和过渡态,相对于包含实验数据的基准数据库以及基于量子计算和qpr型相关性获得的数据,平均偏差小于10%。tc-PR/ cosmos - rs模型能够以0.2 kcal/mol的精度预测抽氢反应的溶剂化激活自由能,为将溶剂化效应整合到液相的详细动力学模型中提供了高通量和精确的解决方案。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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