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对水的振动耦合能否达成统一认识?超拉曼测量与机器学习光谱

Is Unified Understanding of Vibrational Coupling of Water Possible? Hyper-Raman Measurement and Machine Learning Spectra.

作者信息

Inoue Kazuki, Litman Yair, Wilkins David M, Nagata Yuki, Okuno Masanari

机构信息

Department of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro, Tokyo 153-8902, Japan.

Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany.

出版信息

J Phys Chem Lett. 2023 Mar 30;14(12):3063-3068. doi: 10.1021/acs.jpclett.3c00398. Epub 2023 Mar 22.

Abstract

The impact of the vibrational coupling of the OH stretch mode on the spectra differs significantly between IR and Raman spectra of water. Unified understanding of the vibrational couplings is not yet achieved. By using a different class of vibrational spectroscopy, hyper-Raman (HR) spectroscopy, together with machine-learning-assisted HR spectra calculation, we examine the impact of the vibrational couplings of water through the comparison of isotopically diluted HO and pure HO. We found that the isotopic dilution reduces the HR bandwidths, but the impact of the vibrational coupling is smaller than in the IR and parallel-polarized Raman. Machine learning HR spectra indicate that the intermolecular coupling plays a major role in broadening the bandwidth, while the intramolecular coupling is negligibly small, which is consistent with the IR and Raman spectra. Our result clearly demonstrates a limited impact of the intramolecular vibration, independent of the selection rules of vibrational spectroscopies.

摘要

OH伸缩模式的振动耦合对光谱的影响在水的红外光谱和拉曼光谱之间存在显著差异。目前尚未实现对振动耦合的统一理解。通过使用另一类振动光谱——超拉曼(HR)光谱,并结合机器学习辅助的HR光谱计算,我们通过比较同位素稀释的H₂O和纯H₂O来研究水的振动耦合的影响。我们发现同位素稀释会减小HR带宽,但振动耦合的影响比在红外光谱和平行偏振拉曼光谱中要小。机器学习HR光谱表明分子间耦合在加宽带宽方面起主要作用,而分子内耦合小到可以忽略不计,这与红外光谱和拉曼光谱一致。我们的结果清楚地表明分子内振动的影响有限,与振动光谱的选择定则无关。

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