Assessing Polarizability Models for the Simulation of Low-Frequency Raman Spectra of Benzene.
Optical Kerr effect (OKE) spectroscopy is a widely used technique for probing the low-frequency, Raman-active dynamics of liquids. Although molecular simulations are an attractive tool for assigning liquid degrees of freedom to OKE spectra, the accurate modeling of the OKE and the motions that contribute to it relies on the use of a realistic and computationally tractable molecular polarizability model. Here we explore how the OKE spectrum of liquid benzene, and the underlying dynamics that determines its shape, are affected by the polarizability model employed. We test a molecular polarizability model that uses a point anisotropic molecular polarizability and three other models that distribute the polarizability over the molecule. The simplest and most computationally efficient distributed polarizability model tested is found to be sufficient for the accurate simulation of the many-body polarizability dynamics of this liquid. We further find that the atomic-to-molecular polarizability transformation approximation [Hu et al. J. Phys. Chem. B 2008, 112, 7837-7849], used in conjunction with this distributed polarizability model, yields OKE spectra whose shapes differ negligibly from those calculated without this approximation, providing a substantial increase in computational efficiency.
⊥Multiscale Materials Science for Energy and Environment, UMI 3466 CNRS-MIT, and #Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachussetts Avenue, Cambridge, Massachusetts 02139, United States.
John S
JS
Bender
⊥Multiscale Materials Science for Energy and Environment, UMI 3466 CNRS-MIT, and #Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachussetts Avenue, Cambridge, Massachusetts 02139, United States.
Benoit
B
Coasne
⊥Multiscale Materials Science for Energy and Environment, UMI 3466 CNRS-MIT, and #Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachussetts Avenue, Cambridge, Massachusetts 02139, United States.
John T
JT
Fourkas