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Interaction volume, definition

Various other interactions have been considered as the driving force for spin-state transitions such as the Jahn-Teller coupling between the d electrons and a local distortion [73], the coupling between the metal ion and an intramolecular distortion [74, 75, 76] or the coupling between the d electrons and the lattice strain [77, 78]. At present, based on the available experimental evidence, the contribution of these interactions cannot be definitely assessed. Moreover, all these models are mathematically rather ambitious and do not show the intuitively simple structure inherent in the effect of a variation of molecular volume considered here. Their discussion has to be deferred to a more specialized study. [Pg.68]

A comparahve analysis of coefficients and descriptors clarifies the relationship between lipophilicity and hydrophobicity (Y in Eq. 4 is the molar volume which assesses the solute s capacity to elicit nonpolar interactions (i.e. hydrophobic forces) which, as also clearly stated in the International Union of Pure and Applied Chemistry definitions [3] are not synonyms but, when only neutral species are concerned, may be considered as interchangeable. In the majority of partitioning systems, the lipophilicity is chiefly due to the hydrophobicity, as is clearly indicated by the finding that the product of numerical values of the descriptors V and of the coefficient v is larger in absolute value than the corresponding product of other couples of descriptors/coefficients [9]. This explains the very common linear rela-... [Pg.323]

Only in a few cases are test samples measurable without any treatment. As a rule, test samples have to be transformed into a measurable form that optimally corresponds to the demands of the measuring technique. Therefore, sample preparation is a procedure that converts a test sample into a measuring sample. Whereas test samples represent the material in its original form, measuring samples embodies a form that is able to interact with the measuring system in an optimum way. In this sense, measuring samples can be solutions, extracts, pellets, and melt-down samples, but also definite surface layers and volumes in case of micro- and nanoprobe techniques. [Pg.50]

Fig. 2. Illustration of the definitions of conformational coordinate 7Zn, e.g., 7Zn = ri, r2,. .., rn. The conformational distribution s (7U1) is sampled for the single molecule in the absence of interactions with solvent by suitable simulation procedures using coordinates appropriate for those procedures. The normalization adopted in this development is/sf (7Zn) dn1Z = V, the volume of the system. Thus, the conformational average that corresponds to adding the second brackets in going from Eq. (4) to Eq. (3) is evaluated with the distribution function sf (7Zn) = V. Fig. 2. Illustration of the definitions of conformational coordinate 7Zn, e.g., 7Zn = ri, r2,. .., rn. The conformational distribution s (7U1) is sampled for the single molecule in the absence of interactions with solvent by suitable simulation procedures using coordinates appropriate for those procedures. The normalization adopted in this development is/sf (7Zn) dn1Z = V, the volume of the system. Thus, the conformational average that corresponds to adding the second brackets in going from Eq. (4) to Eq. (3) is evaluated with the distribution function sf (7Zn) = V.
It was also noted by Farrington and co-workers that the chemical nature of the end-groups may have a substantial effect on the viscosity of bulk dendrimers, even under iso-free volume conditions [49]. This seems consistent with the establishment of interdendrimer interactions and supramolecular organization at rest in the bulk state. However, as in most other areas of dendrimer rheology, more data are desirable before definite conclusions can be drawn. [Pg.354]

As an alternative to the use of Fiery s interaction parameter, we intend to express AH based on the solubiHty parameter, 6, being slightly hmited in accuracy but superior in simpHcity, needing only pen and paper. According to its definition, 6 is equal to the square root of the molar energy of vaporization, AE per unit molar volume, thus [79]... [Pg.177]

Fond et al. [84] developed a numerical procedure to simulate a random distribution of voids in a definite volume. These simulations are limited with respect to a minimum distance between the pores equal to their radius. The detailed mathematical procedure to realize this simulation and to calculate the stress distribution by superposition of mechanical fields is described in [173] for rubber toughened systems and in [84] for macroporous epoxies. A typical result for the simulation of a three-dimensional void distribution is shown in Fig. 40, where a cube is subjected to uniaxial tension. The presence of voids induces stress concentrations which interact and it becomes possible to calculate the appearance of plasticity based on a von Mises stress criterion. [Pg.223]

The solid state is characterized by definite shape and volume. The observed shape will be the one that maximizes favorable interactions between the atoms, ions, or molecules making up the structure. The preferred shape begins at the atomic or molecular level and is regularly repeated throughout the solid, producing a highly-symmetrical, three-dimensional form called a crystal. The network produced is termed the crystalline lot -t ice. [Pg.131]

The thermodynamic dead volume includes those static fractions of the mobile phase that have the same composition as the moving phase, and thus do not contribute to solute retention by differential interaction in a similar manner to those with the stationary phase. It is seen that, in contrast to the kinetic dead volume, which by definition can contain no static mobile phase, and as a consequence is independent of the solute chromatographed, the thermodynamic dead volume will vary from solute to solute depending on the size of the solute molecule (i.e. is dependent on both ( i )and (n). Moreover, the amount of the stationary phase accessible to the solute will also vary with the size of the molecule (i.e. is dependent on (%)). It follows, that for a given stationary phase, it is not possible to compare the retentive properties of one solute with those of another in thermodynamic terms, unless ( ), (n) and (fc) are known accurately for each solute. This is particularly important if the two solutes differ significantly in molecular volume. The experimental determination of ( ), (n) and( ) would be extremely difficult, if not impossible In practice, as it would be necessary to carry out a separate series of exclusion measurements for each solute which, at best, would be lengthy and tedious. [Pg.32]

The basis of the UNIFAC approach is the definition of submolecular groups (e.g., CH2, CH3, CH3O, CH2CI, OH) and the fitting of a given molecular property or activity coefficient to a sum of contributions based on the subgroup molecular volume and interaction terms between the groups. [Pg.286]

Initial attempts to correlate the affinity of ligands toward cucurbituril using independently estimable parameters such as van der Waals molecular surface area or molecular volume of the guests were relatively unsua sful. The difficulty apparently is that the interior of the receptor has a definite shape and distribution of polarity, so that complementarity between cucurbituril and its ligand depends more subtly upon structure of the bound entity. Consequently we opted for an empirical treatment of our data, which would yield an indication of how particular regions of the interior of cucurbituril interact with ligands. [Pg.11]

In Flory s theory (/< ), a polymer-solvent system is characterized by a temperature 0 at which (i) excluded-volume effects are just balanced by polymer-solvent interactions, so that os=l, (ii) the second virial coefficient is zero, irrespective of the MW of the polymer, and (iii) the polymer, of infinite molecular weight, is just completely miscible with the solvent The fundamental definition of the temperature is a macroscopic one, namely that for T near 0 the excess chemical potential of the solvent in a solution of polymer volume fraction v2 is of the form (18) ... [Pg.21]

There are three definitions needed to accurately describe this process. (1) Compaction is the compression and consolidation of a two-phase (particulate solid/gas) system by the application of an external force (2) compression causes an increase in the apparent density (or a reduction in volume) by the displacement of air and (3) consolidation is defined as an increase in mechanical strength due to particle-particle interaction [1,2]. [Pg.222]

These glasses differ macroscopically in volume and, therefore, in structure. This mental experiment intends to point out, that correctly speaking, there does not exist a glass of definite structure. A glass of the composition x at the temperature T can be produced in different ways which result in glasses of different structure. The characteristic behavior of the plasticizer in its molecular interaction with the chain molecules determines structure and macroscopic behavior of the glass. [Pg.67]


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See also in sourсe #XX -- [ Pg.99 ]




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