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An Efficient Microkinetic Modeling Protocol: Start with Only the Dominant Mechanisms, Adjust All Parameters, and Build the Complete Model Incrementally

机译:一个有效的微因模型协议:以占主导地机制开头,调整所有参数,并逐步构建完整的模型

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摘要

In a recent article (ACS Catal. 2018, 8, 11119-11133), a comprehensive catalytic mechanism is proposed to explain the effects of residual water on the reactivity and regioselectivity of tris(pentafluorophenyl)borane catalyst in the ring-opening reaction of 1,2-epoxyoctane by 2-propanol. Using it as a representative example of a common trend followed also by other groups, we show that the heavily under-constrained (loose) kinetic modeling approach employed can lead to several pitfalls and propose an alternative, more stringent (tight) modeling protocol to avoid them. In addition to providing similar or better accuracy, this approach considerably reduces the DFT parameter calculation time (by a factor of 10 in the present case). We also show an example of how delayed or second-order mechanisms can then be added incrementally to the already built and tested, first-approximation model to achieve a highly predictive and comprehensive microkinetic model. We hope that this simple and robust microkinetic modeling protocol may contribute to the current efforts to establish new, more predictive computational methodologies for synthetic chemistry.
机译:在最近的一篇(ACS Catal.2008,8,11119-11133)中,提出了一种综合催化机制,以解释残留水对Tris(五氟苯基)硼烷催化剂在开环反应中的反应性和区域选择性的影响,2-丙醇2-丙醇。用它作为一种共同趋势的代表性示例,遵循其他群体,我们表明,采用的大量受限(松动)的动力学建模方法可以导致几个陷阱,并提出一种替代,更严格(紧密)的建模协议来避免他们。除了提供类似或更好的精度之外,该方法还可以显着降低DFT参数计算时间(在当前情况下通过10倍)。我们还显示了延迟或二阶机制如何逐步地添加到已经构建和测试的第一近似模型中的延迟或二阶机制,以实现高度预测和综合的微因模型。我们希望这种简单且坚固的微因型建模协议有助于当前为合成化学建立新的更具预测性计算方法的努力。

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