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http://hdl.handle.net/20.500.12386/32011
Title: | Anharmonic infrared spectra of thermally excited pyrene (C16H10): A combined view of DFT-based GVPT2 with AnharmonicCaOs, and approximate DFT molecular dynamics with demonNano | Authors: | Chakraborty, Shubhadip MULAS, Giacomo Rapacioli, Mathias Joblin, Christine |
Issue Date: | 2021 | Journal: | JOURNAL OF MOLECULAR SPECTROSCOPY | Number: | 378 | First Page: | 111466 | Abstract: | The study of the Aromatic Infrared Bands (AIBs) in astronomical environments has opened interesting spectroscopic questions on the effect of anharmonicity on the infrared (IR) spectrum of hot polycyclic aromatic hydrocarbons (PAHs) and related species in isolated conditions. The forthcoming James Webb Space Telescope will unveil unprecedented spatial and spectral details in the AIB spectrum; significant advancement is thus necessary now to model the infrared emission of PAHs, their presumed carriers, with enough detail to exploit the information content of the AIBs. This requires including anharmonicity in such models, and to do so systematically for all species included, requiring a difficult compromise between accuracy and efficiency. <P />We performed a benchmark study to compare the performances of two methods in calculating anharmonic spectra, comparing them to available experimental data. One is a full quantum method, AnharmoniCaOs, relying on an ab initio potential, and the other relies on Molecular Dynamics simulations using a Density Functional based Tight Binding potential. The first one is found to be very accurate and detailed, but it becomes computationally very expensive for increasing temperature; the second is faster and can be used for arbitrarily high temperatures, but is less accurate. Still, its results can be used to model the evolution with temperature of isolated bands. <P />We propose a new recipe to model anharmonic AIB emission using minimal assumptions on the general behaviour of band positions and widths with temperature, which can be defined by a small number of empirical parameters. Modelling accuracy will depend critically on these empirical parameters, allowing for an incremental improvement in model results, as better estimates become gradually available.... | URI: | http://hdl.handle.net/20.500.12386/32011 | URL: | http://arxiv.org/abs/2102.06582v3 https://www.sciencedirect.com/science/article/pii/S0022285221000503?via%3Dihub |
ISSN: | 0022-2852 | DOI: | 10.1016/j.jms.2021.111466 | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
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2102.06582.pdf | postprint | 979.77 kB | Adobe PDF | View/Open |
1-s2.0-S0022285221000503-main.pdf | [Administrators only] | 1.31 MB | Adobe PDF |
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