2011
DOI: 10.1063/1.3670960
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Insights in quantum dynamical effects in the infrared spectroscopy of liquid water from a semiclassical study with an ab initio-based flexible and polarizable force field

Abstract: The dynamical properties of liquid water play an important role in many processes in nature. In this paper, we focus on the infrared (IR) absorption spectrum of liquid water based on the linearized semiclassical initial value representation (LSC-IVR) with the local Gaussian approximation (LGA) [J. Liu and W. H. Miller, J. Chem. Phys. 131, 074113 (2009)] and an ab initio based, flexible, polarizable Thole-type model (TTM3-F) [G. S. Fanourgakis and S. S. Xantheas, J. Chem. Phys. 128, 074506 (2008)]. Although the… Show more

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Cited by 74 publications
(96 citation statements)
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“…That band is better represented in more sophisticated polarizable models of water, [43][44][45] presumably since those are polarizable also at the hydrogen sites and as such feel more closely the formation of a hydrogen bond, or since those are flexible models. It is however very well established that this band originates from charge flows between water molecules upon hydrogen bonding, 5,[36][37][38][39] and it is quite questionable whether polarizability can describe that effect.…”
Section: Discussionmentioning
confidence: 99%
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“…That band is better represented in more sophisticated polarizable models of water, [43][44][45] presumably since those are polarizable also at the hydrogen sites and as such feel more closely the formation of a hydrogen bond, or since those are flexible models. It is however very well established that this band originates from charge flows between water molecules upon hydrogen bonding, 5,[36][37][38][39] and it is quite questionable whether polarizability can describe that effect.…”
Section: Discussionmentioning
confidence: 99%
“…Apart from a few exceptions, [43][44][45] water models are not typically validated against experimental THz and/or Raman spectra. The development of polarizable water models is currently a very active field of research, because they will be a cornerstone for the next generation of MD force fields for biomolecular simulations.…”
Section: Discussionmentioning
confidence: 99%
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“…Numerical statistical errors were estimated by averaging these errors over 100 independent simulations, each with the same number of unique trajectories N uniq = 5 × 10 5 . In order to compare with the analytical results, the effect of correlation was removed by converting the numerical statistical error σ to an error per trajectory σ 1 := (N/N corr ) 1/2 σ .…”
Section: Numerical Resultsmentioning
confidence: 99%
“…1,2 Examples include the optical absorption line shapes computed from the dipole time autocorrelation function, the diffusion coefficient computed from the velocity time autocorrelation function, and various relaxation properties. 3 More general time correlation functions are in fact the principal ingredients of semiclassical 4,5 and path-integral [6][7][8][9][10][11] calculations of quantum dynamical properties. Trajectory-based methods for computing time correlation functions, however, may become too expensive in many-dimensional systems.…”
Section: Introduction: Time Correlation Functionsmentioning
confidence: 99%