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A neural network potential energy surface for the F + CH4 reaction including multiple channels based on coupled cluster theory

机译:用于F + CH4反应的神经网络电位能表面,包括基于耦合簇理论的多通道

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摘要

We report here a new global and full dimensional potential energy surface (PES) for the F + CH4 reaction. This PES was constructed by using neural networks (NN) fitting to about 99 000 ab initio energies computed at the UCCSD(T)-F12a/aug-cc-pVTZ level of theory, and the correction terms considering the influence of a larger basis set as well as spin-orbit couplings were further implemented with a hierarchial scheme. This PES, covering both the abstraction and substitution channels, has an overall fitting error of 8.24 meV in total, and 4.87 meV for energies within 2.5 eV using a segmented NN fitting method, and is more accurate than the previous PESs.
机译:我们在这里报告了F + CH4反应的新全球和全尺寸势能表面(PES)。 通过使用神经网络(NN)拟合到UCCSD(T)-F12A / AUG-CC-PVTZ理论水平的大约99 000 AB Initio能量的PES构建,以及考虑较大基础集的影响的校正项 除了用层次方案进一步实施旋转轨道耦合。 此PES,涵盖抽象和替代渠道,总共有8.24 MEV的整体拟合误差,4.87 MEV用于2.5 eV内的能量,使用分段的NN拟合方法,比以前的PES更准确。

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    Chinese Acad Sci Dalian Inst Chem Phys State Key Lab Mol React Dynam Dalian 116023 Peoples R China;

    Chinese Acad Sci Dalian Inst Chem Phys State Key Lab Mol React Dynam Dalian 116023 Peoples R China;

    Chinese Acad Sci Dalian Inst Chem Phys State Key Lab Mol React Dynam Dalian 116023 Peoples R China;

    Chinese Acad Sci Dalian Inst Chem Phys State Key Lab Mol React Dynam Dalian 116023 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 物理学;化学;
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