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Published February 11, 2020 | Supplemental Material + Published
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Sum frequency generation, calculation of absolute intensities, comparison with experiments, and two-field relaxation-based derivation

Abstract

The experimental sum frequency generation (SFG) spectrum is the response to an infrared pulse and a visible pulse and is a highly surface-sensitive technique. We treat the surface dangling OH bonds at the air/water interface and focus on the absolute SFG intensities for the resonant terms, a focus that permits insight into the consequences of some approximations. For the polarization combinations, the calculated linewidths for the water interface dangling OH SFG band at 3,700 cm⁻¹ are, as usual, too large, because of the customary neglect of motional narrowing. The integrated spectrum is used to circumvent this problem and justified here using a Kubo-like formalism and theoretical integrated band intensities rather than peak intensities. Only relative SFG intensities are usually reported. The absolute integrated SFG intensities for three polarization combinations for sum frequency, visible, and infrared beams are computed. We use molecular dynamics and the dipole and the polarizability matrix elements obtained from infrared and Raman studies of H₂O vapor. The theoretical expressions for two of the absolute susceptibilities contain only a single term and agree with experiment to about a factor of 1.3, with no adjustable parameters. The Fresnel factors are included in that comparison. One of the susceptibilities contains instead four positive and negative terms and agrees less well. The expression for the SFG correlation function is normally derived from a statistical mechanical formulation using a time-evolving density matrix. We show how a derivation based on a two-field relaxation leads to the same final result.

Additional Information

© 2020 National Academy of Sciences. Published under the PNAS license. Contributed by Rudolph A. Marcus, December 15, 2019 (sent for review April 12, 2019; reviewed by Shaul Mukamel and Francesco Paesani). PNAS first published January 29, 2020. We are pleased to acknowledge helpful discussions with Professor Y. R. Shen, Professor S. Mukamel, and Professor Yanting Wang. This work was supported at various times by a number of organizations: the US Army Research Office, the Office of Naval Research, and the James W. Glanville Foundation; and by research grants from Tianjin University of Technology and Education, the Tianjin Municipal Education Commission through Grant JWK1704, and the China Scholarship Council. This work used the Extreme Science and Engineering Discovery Environment, which is supported by National Science Foundation Grant OCI-1053575. Data Availability: The DL_POLY2.0 program was used to calculate the trajectories. All of the data obtained in the present work are given in Figs. 1–4, Tables 1 and 2, and the main text. Author contributions: K.N. and R.A.M. designed research, performed research, analyzed data, and wrote the paper. Reviewers: S.M., University of California, Irvine; and F.P., University of California San Diego. The authors declare no competing interest. This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1906243117/-/DCSupplemental.

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August 22, 2023
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