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A time averaged semiclassical approach to IR spectroscopy

Academic Article
Publication Date:
2024
Citation:
A time averaged semiclassical approach to IR spectroscopy / C. Lanzi, C. Aieta, M. Ceotto, R. Conte. - In: THE JOURNAL OF CHEMICAL PHYSICS. - ISSN 0021-9606. - 160:21(2024), pp. 214107.1-214107.11. [10.1063/5.0214037]
abstract:
We propose a new semiclassical approach to the calculation of molecular IR spectra. The method employs the time averaging technique of Kaledin and Miller upon symmetrization of the quantum dipole-dipole autocorrelation function. Spectra at high and low temperatures are investigated. In the first case, we are able to point out the possible presence of hot bands in the molecular absorption line shape. In the second case, we are able to reproduce accurate IR spectra as demonstrated by a calculation of the IR spectrum of the water molecule, which is within 4% of the exact intensity. Our time averaged IR spectra can be directly compared to time averaged semiclassical power spectra as shown in an application to the CO2 molecule, which points out the differences between IR and power spectra and demonstrates that our new approach can identify active IR transitions correctly. Overall, the method features excellent accuracy in calculating absorption intensities and provides estimates for the frequencies of vibrations in agreement with the corresponding power spectra. In perspective, this work opens up the possibility to interface the new method with the semiclassical techniques developed for power spectra, such as the divide-and-conquer one, to get accurate IR spectra of complex and high-dimensional molecular systems.
IRIS type:
01 - Articolo su periodico
List of contributors:
C. Lanzi, C. Aieta, M. Ceotto, R. Conte
Authors of the University:
CEOTTO MICHELE ( author )
CONTE RICCARDO ( author )
LANZI CECILIA ( author )
Link to information sheet:
https://air.unimi.it/handle/2434/1057249
Full Text:
https://air.unimi.it/retrieve/handle/2434/1057249/2427801/IR_Timeaveraged_Copy.pdf
Project:
A web-platform interfaced software for spectroscopic molecular characterization and early diagnosis of Parkinson's disease (SEMISOFT)
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Settore CHIM/02 - Chimica Fisica

Settore FIS/03 - Fisica della Materia
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