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Correlation between the glass transition temperatures and multipole moments for polymers

机译:聚合物的玻璃化转变温度与多极矩之间的相关性

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摘要

By carrying out density functional theory (DFT) calculations for 60 polyvinyls, polyethylenes and polymethacrylates repeating units at the B3LYP/6-31 G(d) level, two quantum chemical descriptors, the molecular traceless quadrupole moment Theta, the molecular average hexadecapole moment Phi, are obtained and used to predict the glass transition temperature (T-g). A physically meaningful quantitative structure-property relationship (QSPR) model having correlation coefficient 0.953 for the training set and 0.952 for the test set is generated using multiple linear stepwise regression analysis. It suggests that the model obtained here can predict the T-g values of polymers and provide theoretical guidance for polymeric molecular designs. Compared with the existing QSPR models, the proposed model with only two multipole moment descriptors is most simple. This paper encourages the further application of multipole moments to the QSPR studies for polymers. (c) 2006 Elsevier B.V. All rights reserved.
机译:通过对B3LYP / 6-31 G(d)水平上的60种聚乙烯,聚乙烯和聚甲基丙烯酸酯重复单元进行密度泛函理论(DFT)计算,获得了两个量子化学描述子:分子无痕四极矩Theta,分子平均十六极矩Phi ,得到,用于预测玻璃化转变温度(Tg)。使用多元线性逐步回归分析,生成对训练集具有相关系数0.953,对测试集具有0.952的具有物理意义的定量结构-属性关系(QSPR)模型。这表明这里获得的模型可以预测聚合物的T-g值,并为聚合物分子设计提供理论指导。与现有的QSPR模型相比,所提出的仅具有两个多极矩描述符的模型最为简单。本文鼓励多极矩在聚合物的QSPR研究中进一步应用。 (c)2006 Elsevier B.V.保留所有权利。

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