1998
DOI: 10.1002/(sici)1521-3919(19980501)7:3<373::aid-mats373>3.0.co;2-8
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Simulation of vibrational spectra of polymers by molecular dynamics calculations

Abstract: SUMMARY Molecular dynamics is used to study the vibrational spectra (infrared and Raman) of polyethylene and polytetrafluoroethylene. The calculated frequencies are in good agreement with results of normal mode analyses. The calculated intensities lead to the conclusion that, while satisfactory relative intensities can be expected from simple models, quantitative determination of the intensities necessitates the use of complete sets of electro-optical parameters.

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Cited by 6 publications
(4 citation statements)
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“…Each contribution depends upon the bond type, orientation, and length. Bond polarizability models have been widely employed to represent the polarizability of single molecules, polymers, silica glasses, and nanotubes. ,,, For polymeric materials, only a few studies have focused on computing the Raman spectra of crystals and uses rather small molecular systems …”
Section: Bond Polarizability Modelmentioning
confidence: 99%
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“…Each contribution depends upon the bond type, orientation, and length. Bond polarizability models have been widely employed to represent the polarizability of single molecules, polymers, silica glasses, and nanotubes. ,,, For polymeric materials, only a few studies have focused on computing the Raman spectra of crystals and uses rather small molecular systems …”
Section: Bond Polarizability Modelmentioning
confidence: 99%
“…The Raman intensity can be computed from the amplitude of molecular polarizability oscillations as the mode vibrates. The second approach is to obtain the time-varying molecular polarizability directly from a simulation trajectory and compute the power spectrum; this method has been applied only a few times, to crystalline systems. The necessary polarizability can either be obtained either from ab initio calculations or empirical models. , Ab initio methods such as density functional theory (DFT) are more accurate but require vastly more computational resources.…”
Section: Introductionmentioning
confidence: 99%
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