Assessment of two methods for application in the prediction of the infrared spectra of polymers

D.A. Tilbrook, B.J. Howlin, I. Hamerton
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引用次数: 3

Abstract

Two simple simulation methods, which will be useful for the prediction of the infrared (IR) spectral features of polymers, are reported. This paper focusses on simple aromatic models of the main aromatic backbones of structural polymeric resins. These methods were normal coordinate analysis (NCA) using the PM3 Hamiltonian implemented under MOPAC6 and a dipole autocorrelation function (DACF) calculated using coordinates and velocities from a series of molecular dynamics runs performed using the universal force-field (UFF) as implemented in the Cerius2 modelling package. The semi-empirical NCA approach yielded useful information about the fundamental modes of vibration of the molecules but, as expected, could not be used to predict combination modes for anything but the simplest of molecules. The DACF approach showed potential for the prediction of combination bands but thorough evaluation of the method was found to be extremely difficult, owing to problems with band assignment for all but the simplest of molecules. An estimate of the accuracy of prediction for the different types of vibrational mode is included for each method.

两种方法在聚合物红外光谱预测中的应用评价
本文报道了两种简单的模拟方法,可用于预测聚合物的红外光谱特征。本文主要讨论了结构聚合物树脂主要芳香骨架的简单芳香模型。这些方法是使用MOPAC6下实现的PM3哈密顿量的正坐标分析(NCA)和使用Cerius2建模包中实现的通用力场(UFF)进行的一系列分子动力学运行的坐标和速度计算的偶极自相关函数(DACF)。半经验NCA方法产生了关于分子基本振动模态的有用信息,但正如预期的那样,除了最简单的分子外,它不能用于预测任何东西的组合模态。DACF方法显示了预测组合谱带的潜力,但由于除了最简单的分子外,所有分子的谱带分配都存在问题,因此发现对该方法进行彻底评估是极其困难的。每种方法对不同类型的振动模式的预测精度进行了估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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