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首页> 外文期刊>Journal of Polymer Science, Part A. Polymer Chemistry >A novel approach toward the prediction of the glass transition temperature: Application of the EVM model, a designer QSPR equation for the prediction of acrylate and methacrylate polymers
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A novel approach toward the prediction of the glass transition temperature: Application of the EVM model, a designer QSPR equation for the prediction of acrylate and methacrylate polymers

机译:预测玻璃化转变温度的新方法:EVM模型的应用,设计师QSPR方程用于预测丙烯酸酯和甲基丙烯酸酯聚合物

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摘要

We describe an original QSPR model called the EVM model (Energy, Volume, Mass) to calculate the glass transition temperature (T-g) of aliphatic acrylate and methacrylate homopolymers using classical molecular mechanics and dynamics. The latter was used to calculate an energy density function related to the cylindrical volume of a 20 monomer unit polymer segment (TSSV, Total Space around a Standard deviation Volume). We then calculated the T-g as a function of this density function and the repeat unit molecular weight, although no interchain interactions were taken into account. For linear and branched aliphatic acrylate and methacrylate polymers, the standard deviation from linear regression was 12 K, and the r(2) was 0.96. The model allows calculation of the T-g with an average absolute error of error of 10% for linear and branched derivatives not included in the original linear regression analysis. The results obtained with the EVM model are compared with those obtained with Bicerano's model. (C) 1997 John Wiley & Sons, Inc.
机译:我们描述了一种称为EVM模型(能量,体积,质量)的原始QSPR模型,以使用经典的分子力学和动力学计算脂肪族丙烯酸酯和甲基丙烯酸酯均聚物的玻璃化转变温度(T-g)。后者用于计算与20个单体单元聚合物链段的圆柱体体积有关的能量密度函数(TSSV,标准偏差体积周围的总空间)。然后,我们将T-g计算为该密度函数和重复单元分子量的函数,尽管未考虑链间相互作用。对于线性和支链脂族丙烯酸酯和甲基丙烯酸酯聚合物,线性回归的标准偏差为12 K,r(2)为0.96。对于原始线性回归分析中未包含的线性和支链导数,该模型允许计算T-g,平均绝对误差为10%。将通过EVM模型获得的结果与通过Bicerano模型获得的结果进行比较。 (C)1997年John Wiley&Sons,Inc.

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