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Automated transition state theory calculations of abstraction reactions by hydroperoxyl, compared to literature model values

机译:与文献模型值相比,水质过渡氧基的自动化转变状态理论计算

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Combustion reaction rates are determined in a variety of ways, experimental, theoretical, and heuristic, resulting in discrepancies between reaction rates that cause variations in kinetic models. We present a fully automated method to compare reaction rates for hydrogen abstraction by hydroperoxyl radicals (OOH). This workflow gathers published mechanisms from the literature, identifies the species involved, searches through them for hydrogen abstraction reactions by OOH radicals, calculates the reaction rates using an automatic transition state theory (TST) method, and compares the results. The automated TST method combines transition state geometry prediction based on group-additive interatomic distances, saddle-point geometry optimization with DFT, intrinsic reaction coordinate calculations, and a canonical transition state theory calculator, to calculate the reaction rates of these hydrogen abstraction reactions. Hydrogen abstraction reactions by OOH radicals represent one of the primary mechanisms that drive combustion reactions and accurately estimating their reaction rates facilitates the understanding behind novel fuel combustion.
机译:燃烧反应速率以各种方式确定,实验性,理论和启发式,导致反应速率之间的差异,导致动力学模型的变化。我们提出了一种全自动方法,可比较氢溴酸基团的反应速率(OOH)。这种工作流程从文献中收集发布的机制,识别所涉及的物种,通过OOH自由基搜索氢气抽象反应,使用自动转换状态理论(TST)方法来计算反应速率,并比较结果。自动化TST方法基于基于组 - 附加的内部距离,鞍点几何优化与DFT,内在反应坐标计算和规范过渡状态理论计算器的转变状态几何预测结合,计算了这些氢抽取反应的反应速率。 OOH基团的氢气抽象反应代表了驱动燃烧反应并准确估计其反应率的主要机制之一,便于新颖的燃料燃烧背后的谅解。

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