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Water molecular interactions model

Today, the development of membranes moves rapidly away from simple membranes, which are amenable to such ideal model constructions, to composite materials, in which not one compoimd serves as a panacea for all fuel cell illnesses, but where different functions are assigned to different chemical compounds. Nevertheless, even in these more complex systems the same issues such as water structure, state of water, molecular interactions and proton transfer mechanisms will govern the control of chemical architectures yet to be developed. [Pg.50]

The first molecular interaction model was developed by Nagarajan [3, 4, 5]. For the description of the microstructure of the complex the necklace model was adopted. The free-energy expression developed earlier for micelles was modified in order to incorporate the interaction with the polymer. This interaction was described by two parameters. One of them was the micelle-core area shielded by the polymer and the other one was an interaction parameter due to the hydrophobic contribution of the polymer segments interacting with the core. The shielding of the micelle core has two opposite effects on the micelle formation. On the one hand, it reduces the contact area between the hydrophobic micelle core and water on the other hand, it increases the polar head group interactions. Since the shielding parameter is some kind of mean value, at present no a priori method for the estimation of this area is available ... [Pg.179]

This section discusses theories and calculations that have been used in molecular modeling of primitive hydrophobic effects. There is a basic schism among approaches that have been pursued. One approach is to model hydrophobic effects empirically on the basis of experimental solubilities without direct consideration of solute-water molecular interactions. Hydrophobic effects extracted on the basis of empirical fitting of solubilities are often called hydrophobicities (see... [Pg.1288]

The SPC/E model approximates many-body effects m liquid water and corresponds to a molecular dipole moment of 2.35 Debye (D) compared to the actual dipole moment of 1.85 D for an isolated water molecule. The model reproduces the diflfiision coefficient and themiodynamics properties at ambient temperatures to within a few per cent, and the critical parameters (see below) are predicted to within 15%. The same model potential has been extended to include the interactions between ions and water by fitting the parameters to the hydration energies of small ion-water clusters. The parameters for the ion-water and water-water interactions in the SPC/E model are given in table A2.3.2. [Pg.440]

The most important molecular interactions of all are those that take place in liquid water. For many years, chemists have worked to model liquid water, using molecular dynamics and Monte Carlo simulations. Until relatively recently, however, all such work was done using effective potentials [4T], designed to reproduce the condensed-phase properties but with no serious claim to represent the tme interactions between a pair of water molecules. [Pg.2449]

It is important to propose molecular and theoretical models to describe the forces, energy, structure and dynamics of water near mineral surfaces. Our understanding of experimental results concerning hydration forces, the hydrophobic effect, swelling, reaction kinetics and adsorption mechanisms in aqueous colloidal systems is rapidly advancing as a result of recent Monte Carlo (MC) and molecular dynamics (MO) models for water properties near model surfaces. This paper reviews the basic MC and MD simulation techniques, compares and contrasts the merits and limitations of various models for water-water interactions and surface-water interactions, and proposes an interaction potential model which would be useful in simulating water near hydrophilic surfaces. In addition, results from selected MC and MD simulations of water near hydrophobic surfaces are discussed in relation to experimental results, to theories of the double layer, and to structural forces in interfacial systems. [Pg.20]

Membrane-Interaction (MI)-QSAR approach developed by Iyer et al. was used to develop predictive models of some organic compounds through BBB, and to simulate the interaction of a solute with the phospholipide-rich regions of cellular membranes surrounded by a layer of water. Molecular dynamics simulations were used to determine the explicit interaction of each test compound with the DMPC-water model (a model of dimyristoylphosphatidylcholine membrane monolayer, constructed using the software Material Studio according to the work done by van der Ploeg and Berendsen). Six MI-QSAR equations were constructed (Eqs. 74-79) ... [Pg.541]

Figure 9,1 Molecular interaction potentials in Stockmayer s (1941) model for H2O vapor, (a) antiparallel dipolar moments (b) parallel dipolar moments. Reprinted from D. Eisemberg and W. Kauzmann, The Structures and Properties of Water, 1969, by permission of Oxford University Press. Figure 9,1 Molecular interaction potentials in Stockmayer s (1941) model for H2O vapor, (a) antiparallel dipolar moments (b) parallel dipolar moments. Reprinted from D. Eisemberg and W. Kauzmann, The Structures and Properties of Water, 1969, by permission of Oxford University Press.
Cruciani et al., used a dynamic physicochemical interaction model to evaluate the interaction energies between a water probe and the hydrophilic and hydrophobic regions of the solute with the GRID force field. The VolSurf program was used to generate a PLS model able to predict log Poet [51] from the 3D molecular structure. [Pg.95]

In this combined approach, water does not have any contribution to the entropy of mixing. In addition, this model considers only one interaction coefficient p, which presents an average value for all the interactions in the adsorption and Stern layers, p is determined by the molecular interactions... [Pg.37]

It is noted that the molecular interaction parameter described by Eq. 52 of the improved model is a function of the surfactant concentration. Surprisingly, the dependence is rather significant (Eig. 9) and has been neglected in the conventional theories that use as a fitting parameter independent of the surfactant concentration. Obviously, the resultant force acting in the inner Helmholtz plane of the double layer is attractive and strongly influences the adsorption of the surfactants and binding of the counterions. Note that surface potential f s is the contribution due to the adsorption only, while the experimentally measured surface potential also includes the surface potential of the solvent (water). The effect of the electrical potential of the solvent on adsorption is included in the adsorption constants Ki and K2. [Pg.50]

The material model consists of a large assembly of molecules, each well characterized and interacting according to the theory of noncovalent molecular interactions. Within this framework, no dissociation processes, such as those inherently present in water, nor other covalent processes are considered. This material model may be described at different mathematical levels. We start by considering a full quantum mechanical (QM) description in the Born-Oppenheimer approximation and limited to the electronic ground state. The Hamiltonian in the interaction form may be written as ... [Pg.2]

While these models match experimental data reasonably well at lower fields, recent experiments at higher magnetic fields of 3.4 and 9.2 T show enhancement values that are much higher than predicted with the currently employed theory.41,72,79 At these higher fields, the timescale of molecular interactions that give rise to Overhauser DNP effects is much shorter (sub-picoseconds to picoseconds) and thus should be more sensitive to the rotational diffusion dynamics of water, closely related to the atomistic details of the radical and solvent, instead of translational diffusion dynamics. These atomistic details are not accurately represented in the FFHS or rotational models (Equations (13) and (15)), implying that further work needs to be done to develop more accurate models. [Pg.95]

These qualitative assays show that one-armed cationic guanidiniocarbonyl pyrrole receptors can indeed effectively bind tetrapeptides even in water. Molecular modeling studies suggest a complex structure as shown for one specific example, the receptor Val-Val-Val-CBS, in Figure 2.3.11. Receptor and substrate form a hydrogen bonded //-sheet which is further stabilized by additional hydrophobic interactions between the apolar groups in the side-chains. Recognition of the tetrapep-tide thus seems to be controlled by a fine balanced interplay between electrostatic and hydrophobic interactions. [Pg.150]

It is known that first principles molecular dynamics may overcome the limitations related to the use of an intermolecular interaction model. However, it is not clear that the results for the structure of hydrogen bonding liquids predicted by first principles molecular dynamics simulations are necessarily in better agreement with experiment than those relying on classical simulations, and recent first principles molecular dynamics simulations of liquid water indicated that the results are dependent on the choice of different approximations for the exchange-correlation functional [50], Cluster calculations are an interesting alternative, although surface effects can be important and extrapolation to bulk phase remains a controversial issue. [Pg.117]


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