arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1909.06244physics.chem-ph
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环Polymer分子动力学和气相无势垒反应矩张量势的主动学习:应用于S + H2

Ring Polymer Molecular Dynamics and Active Learning of Moment Tensor Potential for Gas-Phase Barrierless Reactions: Application to S + H2

Ivan S. Novikov, Alexander V. Shapeev, Yury V. Suleimanov

摘要:

环状聚合物分子动力学(RPMD)已被证明是计算各种化学反应热速率系数的一种精确方法。为了更广泛地应用这种方法,需要有效的方法来生成底层的全维势能面(PES)和相应的能量梯度。最近,我们提出了一个完全自动化的程序,该程序基于将原始RPMDrate代码与使用矩张量势的PES动态主动学习相结合,并成功地将其应用于两个代表性的热活化化学反应[I]。S. Novikov,Y. V. Suleimanov,A. V. Shapeev,物理化学物理,29503-29512(2018)]。在这项工作中,使用原型插入化学反应S + H $_2$,我们表明,这一过程同样适用于另一类化学反应。我们发现,相应的PES可以通过拟合到不到1500自动生成的结构,而RPMD速率系数显示偏离参考值内的RPMDrate的典型收敛误差。我们注意到,更多的结构积累在实时传播的动态因子(再交叉因子),而不是以前的研究。我们还观察到,在进入络合物形成井之前,沿着反应坐标的相对平坦的自由能分布可能导致定位不太收敛的PES的自由能表面的最大值的问题。然而,最终的RPMD速率系数与分割表面的位置无关,这使得它不会受到这个问题的影响,从而将必要结构的总数保持在几千以内。我们的工作的结论是,在未来,所提出的方法可以应用到现实的复杂的化学反应与各种能源配置文件。

英文摘要:

Ring polymer molecular dynamics (RPMD) has proven to be an accurate approach for calculating thermal rate coefficients of various chemical reactions. For wider application of this methodology, efficient ways to generate the underlying full-dimensional potential energy surfaces (PESs) and the corresponding energy gradients are required. Recently, we have proposed a fully automated procedure based on combining the original RPMDrate code with active learning for PES on-the-fly using moment tensor potential and successfully applied it to two representative thermally activated chemical reactions [I. S. Novikov, Y. V. Suleimanov, A. V. Shapeev, Phys. Chem. Chem. Phys., 29503-29512 (2018)]. In this work, using a prototype insertion chemical reaction S + H$_2$, we show that this procedure works equally well for another class of chemical reactions. We find that the corresponding PES can be generated by fitting to less than 1500 automatically generated structures while the RPMD rate coefficients show deviation from the reference values within the typical convergence error of RPMDrate. We note that more structures are accumulated during the real-time propagation of the dynamic factor (the recrossing factor) as opposed to the previous study. We also observe that relatively flat free energy profile of the along the reaction coordinate before entering the complex-formation well can cause issues with locating the maximum of the free energy surface for less converged PESs. However, the final RPMD rate coefficient is independent of the position of the dividing surface that makes it invulnerable to this problem, keeping the total number of necessary structures within a few thousand. Our work concludes that, in future, the proposed methodology can be applied to realistic complex chemical reactions with various energy profiles.

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