“…The contribution of dispersive forces to the properties can be obtained either using a mean field approach, or eventually modifying the Kolafa Nezbeda model so that one has a LJ center plus four associating sites. 64,65 This is a reasonable model of water, and has been shown that when used in combination with SAFT it can describe many properties of water. Thus SAFT provides a good description of water because the potential used to describe water (i.e the PES) is simple but still reasonable.…”
In order to rigorously evaluate the energy and dipole moment of a certain configuration of molecules one needs to solve the Schrödinger equation. Repeating this for many different configurations allows one to determine the potential energy surface (PES) and the dipole moment surface (DMS). Since the early days of computer simulation it has been implicitly accepted that for empirical potentials the charges used to fit the PES should also be used to describe the DMS. This is a mistake. Partial charges are not observable magnitudes. They should be regarded as adjustable fitting parameters. Optimal values used to describe the PES are not necessarily the best to describe the DMS. One could use two fits: one for the PES, and another for the DMS. This is a common practice in the quantum chemistry community, but not used so often by the community performing computer simulations. This idea affects all types of modelling of water (with the exception of ab-initio calculations) from coarse grained to non-polarizable and polarizable models.We anticipate that an area that will benefit dramatically from having both, a good PES and a good DMS, is the modelling of water in the presence of electric fields.
“…The contribution of dispersive forces to the properties can be obtained either using a mean field approach, or eventually modifying the Kolafa Nezbeda model so that one has a LJ center plus four associating sites. 64,65 This is a reasonable model of water, and has been shown that when used in combination with SAFT it can describe many properties of water. Thus SAFT provides a good description of water because the potential used to describe water (i.e the PES) is simple but still reasonable.…”
In order to rigorously evaluate the energy and dipole moment of a certain configuration of molecules one needs to solve the Schrödinger equation. Repeating this for many different configurations allows one to determine the potential energy surface (PES) and the dipole moment surface (DMS). Since the early days of computer simulation it has been implicitly accepted that for empirical potentials the charges used to fit the PES should also be used to describe the DMS. This is a mistake. Partial charges are not observable magnitudes. They should be regarded as adjustable fitting parameters. Optimal values used to describe the PES are not necessarily the best to describe the DMS. One could use two fits: one for the PES, and another for the DMS. This is a common practice in the quantum chemistry community, but not used so often by the community performing computer simulations. This idea affects all types of modelling of water (with the exception of ab-initio calculations) from coarse grained to non-polarizable and polarizable models.We anticipate that an area that will benefit dramatically from having both, a good PES and a good DMS, is the modelling of water in the presence of electric fields.
“…63,77 At one side, this is a reasonable approach, since the parameters of such equations of state are rather degenerated and the standard optimization on the pure component equilibrium data only can provide several different parameter sets. On the other hand, since the model is not able to describe correctly the structure at molecular level, the associating parameters may depend on the choice of simulated property taken into account.…”
“…It is assumed that a site can bond only once; this assumption has worked well in the past for water and alcohol. 55,56 It is calculated as the geometric mean of the value at r 1 and r 2…”
Section: B Isaft Density Functional Theorymentioning
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