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

Jingcheng Guan, You Lu, Kakali Sen, Jamal Abdul Nasir, Alec W. W. Desmoutier, Qing Hou, Xingfan Zhang, Andrew J. J. Logsdail, Gargi Dutta, Andrew M. M. Beale, Richard W. W. Strange, Chin Yong, Paul Sherwood, Hans M. M. Senn, C. Richard A. Catlow, Thomas W. W. Keal, Alexey A. A. Sokol

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences(2023)

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Abstract
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'.
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Key words
vibrational spectroscopy,infrared,Raman,embedded cluster,QM,MM,ChemShell
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