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

机译:评估两种用于预测聚合物红外光谱的方法

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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 Cerius~2 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.
机译:报告了两种简单的模拟方法,这些方法可用于预测聚合物的红外(IR)光谱特征。本文着重于结构聚合树脂主要芳族骨架的简单芳族模型。这些方法是使用在MOPAC6下实施的PM3哈密顿量的法向坐标分析(NCA)和使用一系列分子动力学运行中的坐标和速度计算出的偶极自相关函数(DACF),其中使用了通用力场(UFF)执行了一系列分子动力学Cerius〜2建模包。半经验NCA方法产生了有关分子振动基本模式的有用信息,但是,正如预期的那样,除了最简单的分子,它不能用于预测任何形式的组合模式。 DACF方法显示了预测组合谱带的潜力,但是由于除最简单分子以外的所有分子都存在谱带分配问题,因此对该方法进行全面评估非常困难。每种方法都包括对不同类型振动模式的预测准确性的估计。

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