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A STUDY OF THE PERFORMANCE OF NUMERICAL BASIS SETS IN DFT CALCULATIONS ON SULFUR-CONTAINING MOLECULES

机译:含硫分子的DFT计算中数值基集的性能研究

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摘要

The performance of numerical basis sets in relation to Gaussian basis sets is examined, by studying 20 small sulfur-containing molecules. The results of geometry optimization calculations are reported for each molecule using both density functional and Hartee-Fock methods. In comparison with experimental data, it is shown that the use of numerical bases tend to overestimate structural parameters, particularly bond lengths, and, in most cases, more than Gaussian basis sets. It is also shown that the use of a larger Gaussian basis set in DFT calculations has the effect of reducing bond lengths. (C) 1996 John Wiley & Sons, Inc. [References: 32]
机译:通过研究20个含硫小分子,研究了相对于高斯基集的数字基集的性能。使用密度泛函和Hartee-Fock方法报告了每个分子的几何优化计算结果。与实验数据相比,结果表明,使用数字基准往往会高估结构参数,尤其是键长,并且在大多数情况下,其数量超过高斯基础集。还表明,在DFT计算中使用较大的高斯基集具有减少键长的作用。 (C)1996 John Wiley&Sons,Inc. [参考:32]

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