Probing computational methodologies in predicting mid-infrared spectra for large polycyclic aromatic hydrocarbons
We extend the prediction of vibrational spectra to large sized polycyclic aromatic hydrocarbon (PAH) molecules comprising up to ∼1500 carbon atoms by evaluating the efficiency of several computational chemistry methodologies. We employ classical mechanics methods (Amber and Gaff) with improved atomi...
Main Authors: | , , , , , |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Oxford University Press
2022
|