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首页> 外文期刊>The Journal of Chemical Physics >Communication: An accurate global potential energy surface for the OH + CO → H + CO_2 reaction using neural networks
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Communication: An accurate global potential energy surface for the OH + CO → H + CO_2 reaction using neural networks

机译:交流:使用神经网络的OH + CO→H + CO_2反应的准确的全局势能面

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摘要

We report a new global potential energy surface of the HOCO system based on the F12 correction of unrestricted coupled-cluster with singles doubles and approximative triples using the augmented correlation-consistent polarized valence triple-zeta basis set (UCCSD(T)-F12/AVTZ), fitted by using the neural networks. Quantum dynamics calculations confirmed the satisfactory convergence of surface with respect to the number of data points and fitting process. It is found that the total reaction probabilities and complex-formation probabilities obtained on the present surface differ considerably with those obtained on the potential energy surface recently reported by Li [J. Chem. Phys. 136, 041103 (2012)]10.1063/1.3680256. Various comparisons revealed that the present surface is substantially more accurate than that surface, representing the best available potential energy surface for this benchmark complex-forming four-atom system.
机译:我们报告了HOCO系统的一个新的全球势能面,它基于F12校正,使用增强的相关一致极化价三重ζ基集(UCCSD(T)-F12 / AVTZ)进行单重双和近似三重无限制耦合簇),通过使用神经网络进行拟合。量子动力学计算证实了表面在数据点数量和拟合过程方面令人满意的收敛性。已经发现,在当前表面上获得的总反应概率和复杂形成概率与Li最近报道的在势能表面上获得的那些概率有很大不同。化学物理136,041103(2012)] 10.1063 / 1.3680256。各种比较表明,当前表面比该表面精确得多,代表了该基准形成复合物的四原子系统的最佳可用势能表面。

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