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首页> 外文期刊>PhysChemComm >Improved coefficients for the scaling all correlation and multi-coefficient correlation methods
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Improved coefficients for the scaling all correlation and multi-coefficient correlation methods

机译:用于缩放所有相关和多系数相关方法的改进系数

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摘要

We have re-optimized the coefficients for ten scaling all correlation (SAC) methods, five empirical infinite basis (EIB) methods,nand 18 multi-coefficient (MC) correlation methods, including the special cases of multi-coefficient SAC and multi-coefficientnGaussian-2 and Gaussian-3. The new parameterization is based on a training set of 82 atomization energies except for multicoefficientnGaussian-2, which is restricted to H and the first period (nuclear charge £ 9) and is based on a training set of 52natomization energies. Each method may be employed with or without including core-correlation effects, which are based on annew set of parameters optimized on a 123-molecule training set. The mean unsigned error in the atomization energies of the 82-nmolecule set is reduced on average by 20% when the new parameters used here are adopted.
机译:我们重新优化了十种缩放全相关(SAC)方法,五种经验无限基(EIB)方法,十八种多系数(MC)相关方法的系数,包括多系数SAC和多系数n高斯的特殊情况-2和高斯3。新的参数化基于训练系数为82的雾化能量,但多重系数nGaussian-2(仅限于H和第一个周期(核电荷£9))基于52原子化能量的训练集。每种方法都可以采用或不采用核相关效应,该效应基于在123分子训练集上优化的一组新参数。当采用此处使用的新参数时,82分子组的雾化能量的平均无符号误差平均降低20%。

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