Temperature effects on the branching dynamics in the model ambimodal (6 + 4)/(4 + 2) intramolecular cycloaddition reaction

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2024-08-21 DOI:10.1002/jcc.27484
Tatsuhiro Murakami, Daiki Hayashi, Yuya Kikuma, Keita Yamaki, Toshiyuki Takayanagi
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Abstract

C14H20 (tetradecapentaene) is a simple model system exhibiting post transition-state behavior, wherein both the (6 + 4) and (4 + 2) cycloaddition products are formed from one ambimocal transition state structure. We studied the bifurcation dynamics starting from the two ambimodal transition state structures, the chair-form and boat-form, using the quasi-classical trajectory, classical molecular dynamics, and ring-polymer molecular dynamics methods on the parameter-optimized semiempirical GFN2-xTB potential energy surface. It was found that the calculated branching fractions differ between the chair-form and boat-form due to the different nature in the IRC pathways. We also investigated the effects of temperature on bifurcation dynamics and found that, at higher temperatures, trajectories stay longer in the intermediate region of the potential energy surface.

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温度对模态 (6 + 4)/(4 + 2) 分子内环加成反应中分支动力学的影响。
C14H20 (十四碳五烯)是一个简单的模型系统,表现出过渡态后行为,其中 (6 + 4) 和 (4 + 2) 环加成产物均由一个非模态过渡态结构形成。我们在参数优化的半经验 GFN2-xTB 势能面上,使用准经典轨迹、经典分子动力学和环聚合物分子动力学方法,研究了从椅型和船型这两种非模态过渡态结构开始的分叉动力学。结果发现,由于 IRC 通路的性质不同,计算出的椅子型和船型支化率也不同。我们还研究了温度对分叉动力学的影响,发现温度越高,轨迹在势能面中间区域停留的时间越长。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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