Computational infrared and Raman spectra by hybrid QM/MM techniques: a study on molecular and catalytic material systems

Vibrational spectroscopy is one of the most well-established and important techniques for characterizing chemical systems. To aid the interpretation of experimental infrared and Raman spectra, we report on recent theoretical developments in the ChemShell computational chemistry environment for model...

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Veröffentlicht in:Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences physical, and engineering sciences, 2023-07, Vol.381 (2250), p.20220234
Hauptverfasser: Guan, Jingcheng, Lu, You, Sen, Kakali, Abdul Nasir, Jamal, Desmoutier, Alec W, Hou, Qing, Zhang, Xingfan, Logsdail, Andrew J, Dutta, Gargi, Beale, Andrew M, Strange, Richard W, Yong, Chin, Sherwood, Paul, Senn, Hans M, Catlow, C Richard A, Keal, Thomas W, Sokol, Alexey A
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Sprache:eng
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Zusammenfassung:Vibrational spectroscopy is one of the most well-established and important techniques for characterizing chemical systems. To aid the interpretation of experimental infrared and Raman spectra, we report on recent theoretical developments in the ChemShell computational chemistry environment for modelling vibrational signatures. The hybrid quantum mechanical and molecular mechanical approach is employed, using density functional theory for the electronic structure calculations and classical forcefields for the environment. Computational vibrational intensities at chemical active sites are reported using electrostatic and fully polarizable embedding environments to achieve more realistic vibrational signatures for materials and molecular systems, including solvated molecules, proteins, zeolites and metal oxide surfaces, providing useful insight into the effect of the chemical environment on the signatures obtained from experiment. This work has been enabled by the efficient task-farming parallelism implemented in ChemShell for high-performance computing platforms.  This article is part of a discussion meeting issue 'Supercomputing simulations of advanced materials'.
ISSN:1364-503X
1471-2962
1471-2962
DOI:10.1098/rsta.2022.0234