喹诺啉-1,4-二氧化物衍生物N-O键解离焓的密度泛函理论:理论方法评估和预测

Jiaheng Zhang , Wenfeng Zhou , Bing Peng , Suxia Zhang , Haixiang Gao , Zhiqiang Zhou
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引用次数: 3

摘要

研究了各种密度泛函理论(DFT)计算喹诺啉-1,4-二氧化物衍生物N-O键解离焓(BDEs)的性能。结果表明,mPW1PW91、B3LYP、B1B95和BMK函数显著优于B3PW91、B1LYP和B3P86等密度泛函理论方法。特别是mPW1PW91方法,因为它的准确性被推荐。随后,测定了一种新的合成兽药喹诺酮的第一、第二、总和平均N-O邻苯二甲酸乙酯。mPW1PW91的预测值分别为240.4、251.0、508.4和254.2 kJ mol−1。
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Density functional theory for N–O bond dissociation enthalpies of quinoxaline-1,4-dioxide derivatives: Theoretical method assessment and prediction

The performance of a variety of density functional theories (DFT) used for calculating N–O bond dissociation enthalpies (BDEs) of quinoxaline-1,4-dioxide derivatives is examined. It was observed that mPW1PW91, B3LYP, B1B95, and BMK functionalities significantly outperformed other popular density functional theory methods, including B3PW91, B1LYP, and B3P86. In particular, the mPW1PW91 method was recommended because of its accuracy. Subsequently, first, second, total, and mean N–O BDEs for a new synthetic veterinary medicine, Quinocetone, were determined. The predictions obtained via the mPW1PW91 were 240.4, 251.0, 508.4, and 254.2 kJ mol−1, respectively.

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