Analysis of the rotational spectrum of large difluoromethane clusters

Evangelisti, Luca

Permalink

https://hdl.handle.net/2142/104274 Copy

Description

Title

Analysis of the rotational spectrum of large difluoromethane clusters

Author(s)

Evangelisti, Luca

Contributor(s)

• Pate, Brooks
• Shields, George C.
• Temelso, Berhane
• Cocinero, Emilio J.
• Calabrese, Camilla
• Foschini, Luca
• Zerbini, Luca
• Fiorini, Anna

Issue Date

2019-06-18

Keyword(s)

Clusters/complexes

Abstract

In the last few years the development of chirp pulsed Fourier transform microwave (CP-FTMW) spectrometers has enables the studies of relatively large rotors and observations of molecular clusters that were difficult to detect previously. In this work we present the study of large oligomers of difluoromethane ((CH$_2$F$_2$)$_n$, with n from 5 to 7) for which experimental measurements were obtained during a collaboration between different research groups (especially at the University of Virginia – USA\footnote{Broadband Fourier transform rotational spectroscopy for structure determination: The water heptamer. C. Perez et al. Chem. Phys. Lett. 571 (2013) 1-15.} and Universidad del País Vasco – Spain\footnote{Structural Studies of Nicotinoids: Cotinine versus Nicotine. I. Uriarte et al. Chem. Eur. J. 23 (2017) 7238 -7244.}). State-of-the-art quantum chemical calculations and structural results for the molecular species will be presented. The challenging decomposition of the spectrum into the individual rotational spectra for each species presented in the jet expansion will be carried out. In particular the approach using AUTOFIT algorithm\footnote{AUTOFIT, an automated fitting tool for broadband rotational spectra, and applications to 1-hexanal. N.A. Seifert et al. J. Mol. Spectrosc. 312 (2015) 13-21.} running on Amazon Web Service (AWS) and High Performance Computing (HPC) systems and its modified version for large molecular system will be presented.

Publisher

International Symposium on Molecular Spectroscopy

Type of Resource

text

Language

eng

Permalink

http://hdl.handle.net/2142/104274

DOI

https://doi.org/10.15278/isms.2019.TC02

Copyright and License Information

Copyright 2019 Luca Evangelisti

Owning Collections