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Adaptive sparse grid expansions of the vibrational Hamiltonian

机译:哈密​​顿振动的自适应稀疏网格展开

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摘要

The vibrational Hamiltonian involves two high dimensional operators, the kinetic energy operator (KEO), and the potential energy surface (PES). Both must be approximated for systems involving more than a few atoms. Adaptive approximation schemes are not only superior to truncated Taylor or many-body expansions (MBE), they also allow for error estimates, and thus operators of predefined precision. To this end, modified sparse grids (SG) are developed that can be combined with adaptive MBEs. This MBE/SG hybrid approach yields a unified, fully adaptive representation of the KEO and the PES. Refinement criteria, based on the vibrational self-consistent field (VSCF) and vibrational configuration interaction (VCI) methods, are presented. The combination of the adaptive MBE/SG approach and the VSCF plus VCI methods yields a black box like procedure to compute accurate vibrational spectra. This is demonstrated on a test set of molecules, comprising water, formaldehyde, methanimine, and ethylene. The test set is first employed to prove convergence for semi-empirical PM3-PESs and subsequently to compute accurate vibrational spectra from CCSD(T)-PESs that agree well with experimental values.
机译:振动哈密顿量涉及两个高维算子,即动能算子(KEO)和势能面(PES)。对于包含多个原子的系统,两者都必须近似。自适应逼近方案不仅优于截断的泰勒或多体展开(MBE),而且还允许进行误差估计,从而实现预定义精度的运算符。为此,开发了可与自适应MBE组合的修改后的稀疏网格(SG)。这种MBE / SG混合方法产生了KEO和PES的统一,完全自适应的表示形式。提出了基于振动自洽场(VSCF)和振动构形相互作用(VCI)方法的细化准则。自适应MBE / SG方法与VSCF加VCI方法的结合产生了类似于黑盒的过程,可以计算出准确的振动谱。这在包含水,甲醛,甲胺和乙烯的分子测试集中得到了证明。该测试集首先用于证明半经验PM3-PES的收敛性,然后从CCSD(T)-PESs计算出准确的振动光谱,该光谱与实验值非常吻合。

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