Condensed Matter Physics, 2013, vol. 16, No. 4, 43604:1-8
Comparison of the TIP4P-2005, SWM4-DP and BK3 interaction potentials of liquid water with respect to their consistency with neutron and X-ray diffraction data of pure water
(Budai Nagy Antal Secondary School, H-1121, Budapest, Anna utca 13-15., Hungary)
(Institute for Solid State Physics and Optics, Wigner Research Centre for Physics, Hungarian Academy of Sciences, H-1525 Budapest, P.O. Box 49., Hungary)
Following a fairly comprehensive study on popular interaction potentials of water
(Pusztai et al 2008, J. Chem. Phys., 129, 184103), here two more recent, polarizable
potential sets, SWM4-DP (Lamoureux et al., Chem. Phys. Lett., 2006, 418, 245) and BK3
(Kiss et al. J. Chem. Phys., 2013, 138, 204507) are compared to the TIP4P-2005 water
potential (Abascal et al., J. Chem. Phys., 2005, 123, 234505) that had appeared the most
favoravble previously. The basis of comparison was the compatibility with results of
neutron and X-ray diffraction experiments on pure water, using the scheme applied by
Pusztai et al. (2008). The scheme combines the experimental total scattering structure
factors (TSSF) and partial radial distribution functions (PRDF) from molecular dynamics
simulations in a single structural model. Goodness-of-fit values to the O-O, O-H and H-H
simulated PRDF-s and to the experimental neutron and X-ray TSSF provided a measure that
can characterize the level of consistency between interaction potentials and diffraction
experiments. Among the sets of partial RDF-s investigated here, the ones corresponding to
the SWM4-DP potential parameters have proven to be the most consistent with the particular
diffraction results taken for the present study, by a hardly significant margin ahead of BK3.
Perhaps more importantly, it is shown that the three sets of potential parameters produce nearly
equivalent PRDF-s that may all be made consistent with diffraction data at a very high level.
The largest differences can be detected in terms of the O-O partial radial distribution function.
neutron diffraction; partial radial distribution functions; Reverse Monte Carlo modeling
61.20.-p, 61.25.-f. 61.05.fm