Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Pair molecular interaction

Consider the simplest case, namely, the nematic phase consisting of uniaxial rodlike molecules. Generally, the intermolecular interaction again consists of the repulsive and attractive parts but both of them become anisotropic. The potential of pair molecular interaction can be written in the following general form ... [Pg.140]

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]

The most widely used qualitative model for the explanation of the shapes of molecules is the Valence Shell Electron Pair Repulsion (VSEPR) model of Gillespie and Nyholm (25). The orbital correlation diagrams of Walsh (26) are also used for simple systems for which the qualitative form of the MOs may be deduced from symmetry considerations. Attempts have been made to prove that these two approaches are equivalent (27). But this is impossible since Walsh s Rules refer explicitly to (and only have meaning within) the MO model while the VSEPR method does not refer to (is not confined by) any explicitly-stated model of molecular electronic structure. Thus, any proof that the two approaches are equivalent can only prove, at best, that the two are equivalent at the MO level i.e. that Walsh s Rules are contained in the VSEPR model. Of course, the transformation to localised orbitals of an MO determinant provides a convenient picture of VSEPR rules but the VSEPR method itself depends not on the independent-particle model but on the possibility of separating the total electronic structure of a molecule into more or less autonomous electron pairs which interact as separate entities (28). The localised MO description is merely the simplest such separation the general case is our Eq. (6)... [Pg.78]

Fig. 2. The graph representation of various relations among proteins or genes. The pathway and the assembly are representations of biochemical knowledge about the network of molecular interactions. The genome represents the positional correlations of genes. The neighbor, cluster, and hierarchical tree are computationally obtained from a set of binary relations, namely, similarity relations of protein pairs or gene pairs. Fig. 2. The graph representation of various relations among proteins or genes. The pathway and the assembly are representations of biochemical knowledge about the network of molecular interactions. The genome represents the positional correlations of genes. The neighbor, cluster, and hierarchical tree are computationally obtained from a set of binary relations, namely, similarity relations of protein pairs or gene pairs.
CnSOC-CyFNa (nonionic-anionic) system. In order to avoid the complex structure and function of polyoxyethylene group.in a common nonionic surfactant (e.g. TX100), we use octylmethyl sulfoxide as a partner in the pair system to study the molecular interactions. The surface tension of the surfactants solutions (with and without adding salt) are shown in fig.6 and 7. The surface properties of 1 1 CgSOC-CyFNa system with adding salt (from Fig.6) are shown in Table 7. [Pg.194]

Equation (4.70) is a starting point in the determination of diffusivities in liquid metal alloys, but in most real systems, experimental values are difficult to obtain to confirm theoretical expressions, and pair potentials and molecular interactions that exist in liquid alloys are not sufficiently quantified. Even semiempirical approaches do not fare well when applied to liquid alloy systems. There have been some attempts to correlate diffusivities with thermodynamic quantities such as partial molar enthalpy and free energy of solution, but their application has been limited to only a few systems. [Pg.346]

Owing to the diverse chemical nature of functional groups in proteins and polysaccharides, they are prone to a variety of types of molecular interactions, both in bulk aqueous media and at air-water or oil-water interfaces. To a first approximation one may consider an adsorbed layer of biopolymers at the interface as simply a special type of highly concentrated biopolymer solution. Thus, the same variety of interactions that are typically found for biopolymers in a bulk aqueous media also occur in biopolymer adsorbed layers at the interfaces in food colloids. Moreover, these same molecular interactions are also involved in the close encounters between pairs of colloidal particles covered by adsorbed biopolymer layers. In the rest of this chapter we shall briefly remind ourselves of the main basic types of intermolecular interactions readers requiring more detailed background information are directed to other sources (Cantor and Schimmel, 1980 Lehninger, 1982 Israelachvili, 1992 Dickinson, 1998 Finkelstein and Ptitsyn, 2002 McClements, 2005, 2006 Min et al., 2008). [Pg.117]

It has been shown that all seven of these pairs are miscible. However, based on trends of the calculated x and Tg deviations defined above, it is implied that the strength of the molecular interaction resulting in miscibility among these pairs follows the order ... [Pg.314]

Molecules may vibrate and when they vibrate, their interaction with other molecules is modified. Vibrating molecules often appear bigger and more anisotropic. For selected systems, for example for hydrogen-rare gas pairs, vibrational dependences have been carefully modeled [227]. However, relatively few molecular interaction potentials are well known and for specific cases, one will have to search the recent literature for state of the art models. [Pg.22]

Early theoretical treatments of liquid crystals were not surprisingly based on the molecular field approximation. However, it is neccessary to make assumptions about the pair potential employed in the calculation and it is impossible to know whether the predictions of a particular model really arise from the pair potential employed or whether they arise, at least in part, from the deficiencies of the basic approximation employed. The general problem is so complex that a better mathematical treatment of the molecular interactions in a liquid crystal is out of the question. However, with the introduction of ever more powerful computers, it has become possible to carry out meaningful numerical simulations of model liquid crystals. [Pg.140]

We have seen in this chapter how the total energy of a liquidlike ensemble of molecules can be calculated starting from COSMO calculations and taking into account deviations from the simple conductor-like electrostatic interactions as well as hydrogen bonding and vdW interactions as local pair-wise interactions of molecular surfaces. This is a very different way of quantifying the total energy than the ways usually used in all kinds of... [Pg.56]


See other pages where Pair molecular interaction is mentioned: [Pg.143]    [Pg.143]    [Pg.2063]    [Pg.141]    [Pg.42]    [Pg.457]    [Pg.276]    [Pg.344]    [Pg.329]    [Pg.183]    [Pg.147]    [Pg.198]    [Pg.212]    [Pg.199]    [Pg.151]    [Pg.120]    [Pg.76]    [Pg.172]    [Pg.36]    [Pg.683]    [Pg.66]    [Pg.319]    [Pg.35]    [Pg.328]    [Pg.154]    [Pg.114]    [Pg.247]    [Pg.517]    [Pg.174]    [Pg.127]    [Pg.123]    [Pg.273]    [Pg.218]    [Pg.11]    [Pg.17]    [Pg.17]    [Pg.117]    [Pg.52]    [Pg.320]    [Pg.57]   
See also in sourсe #XX -- [ Pg.140 , Pg.143 ]




SEARCH



Molecular interactions

Molecular interactive

Molecular pairing

Pair interactions

Paired interactions

© 2024 chempedia.info