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Microscopic parameters

This fonmila allows one to directly calculate tire angle a, a microscopic parameter, by measuring tire macroscopic value P (or equally tire anisotropy r). [Pg.3022]

The constants rc, u ic, etc. are specified in terms of microscopic parameters and the functions fc, f, f c tc. account for the various lateral interactions between the particles in the adsorbed and precursor states. We have factored out an explicit dependence on the coverages so that in the absence of any lateral interactions these functions are all equal to one. [Pg.471]

Thermodynamic, statistical This discipline tries to compute macroscopic properties of materials from more basic structures of matter. These properties are not necessarily static properties as in conventional mechanics. The problems in statistical thermodynamics fall into two categories. First it involves the study of the structure of phenomenological frameworks and the interrelations among observable macroscopic quantities. The secondary category involves the calculations of the actual values of phenomenology parameters such as viscosity or phase transition temperatures from more microscopic parameters. With this technique, understanding general relations requires only a model specified by fairly broad and abstract conditions. Realistically detailed models are not needed to un-... [Pg.644]

Size and Shape. The dimensions of the standard are more critical In the microenvironment than In the macroenvironment, since microscopic measurements commonly require changes In field apertures and magnification. If a microscopic standard has a small (/im-slzed), well-defined shape, such as a sphere or cylinder, an accurate Intensity/ volume relationship can be established, which should be Independent of the microscope optics. Standardization Is thus valid no matter what microscope parameters are employed, as long as the spectral characteristics of the standard and the sample are quite similar or Identical. [Pg.110]

According to Hess, the relative strength of the entanglement friction can be related to the more microscopic parameter q , describing the range of the true interchain interaction potential. A value of q 1 = 7 A, close to the average interchain distance of about 4.7 A, is obtained. [Pg.33]

On the other hand, it was found that the microscopic parameter pH(c) exhibits close similarities to the macroscopic viscosity r (c)/r s of a low molecular mass (M 7.400 g/mol) PDMS/d-chlorobenzene system at 373 K. For that low molar mass the terminal Zimm time tz [see Eq. (80)] is comparable to the time scale of the NSE experiment. Thus, the macroscopic viscosity can relax towards... [Pg.118]

Elastomers are solids, even if they are soft. Their atoms have distinct mean positions, which enables one to use the well-established theory of solids to make some statements about their properties in the linear portion of the stress-strain relation. For example, in the theory of solids the Debye or macroscopic theory is made compatible with lattice dynamics by equating the spectral density of states calculated from either theory in the long wavelength limit. The relation between the two macroscopic parameters, Young s modulus and Poisson s ratio, and the microscopic parameters, atomic mass and force constant, is established by this procedure. The only differences between this theory and the one which may be applied to elastomers is that (i) the elastomer does not have crystallographic symmetry, and (ii) dissipation terms must be included in the equations of motion. [Pg.243]

The models incorporate two microscopic parameters, the site density and the critical nucleus size. A fit of experimental current transients to the models allows conclusions, for example, concerning the effect of additives on nucleation rate. Fabricus et al. found by analysis of current transients that thiourea increases the nucleation density of copper deposited on glassy carbon at low concentration, but decreases it at higher concentration [112], Schmidt et al. found that Gold nucleation on pyrolytic graphite is limited by the availability of nucleation sites [113], Nucleation density and rate were found to depend on applied potential as was the critical nucleus size. Depending on concentration, critical nuclei as small as one atom have been estimated from current transient measurements. Michailova et al. found a critical nucleus of 11 atoms for copper nucleation on platinum [114], These numbers are typical, and they are comparable to the thermodynamic critical radii [86],... [Pg.178]

Even at their best, the models are able to predict only macroscopic properties of the films, yielding no information on microscopic parameters that may affect resist performance. It is highly probable that spin casting induces some structure or preferential chain orientation into the films, or causes secondary effects such as the aggregation observed by Law. These effects are barely addressed in the currently available literature. However, some earlier works (3.17-191 on solvent (static) cast films have investigated the molecular orientation of polymer chains as well as chain relaxation due to thermal annealing. [Pg.99]

The experimental studies described in this chapter certainly led to a better understanding of the coalescence phenomena in concentrated emulsions. Despite the complexity and variety of the destruction scenarios, different methods for measuring the coalescence frequency, ty, have been proposed. It should be within the reach of future work to measure ty for a large variety of systems in order to establish a comparative stability scale. This is a necessary step to determine the microscopic parameters that control the activation energy Ea and the attempt frequency coo. [Pg.168]

Through NMR techniques both D and the microscopic parameter r are obtainable. The limitations of these techniques in their application to zeolites are discussed below. Note that these and other kinetic results from NMR are obtained under conditions of dynamic chemical equilibrium. [Pg.415]

Substitution of Eq. 7.49 into Eq. 7.51 yields the relation between the macroscopic isotropic diffusivity and microscopic parameters... [Pg.158]

Theory for block copolymer rheology is still in its infancy. There are no models that can predict the rheological behaviour of a block copolymer from microscopic parameters. Fredrickson and Helfand (1988) considered fluctuation effects on the low frequency linear viscoelastic properties of block copolymers in the disordered melt near the ODT. They found that long-wavelength transverse momentum fluctuations couple only to compositional order parameter fluctua-... [Pg.105]

The exponent k and the amplitude5 depend only on the fixed point coupling, but are independent of q and f3eo. These microscopic parameters... [Pg.130]

Let us now embed the renormalization group, Constructed in Chap. 8, iftto this general framework. As mentioned above, relation (8.5) shows that the RG we are searching for must be a nonlinear representation of the group of dilatations in the space of parameters. , n,/ e). These are the microscopic parameters of the model, and the representation shall leave macroscopic observables invariant. Furthermore we want the representation to show a nontrivial fixed point. In Sect. 8.2 we have constructed such a representation based on first order perturbation theory. The invariance constraint is obeyed within deviations of order 1+e 2, no = n(A = 1). Equations (8.38), (8.42) give the parameter flow under this nonlinear representation in the standard form (10.28),... [Pg.165]

Consider the e-expansion (12.27) of the renormalized end-to-end distribution. It contains the constant b and thus depends on our renormalization scheme. This dependence can be eliminated by replacing the chain length, which is a microscopic parameter, by the end-to-end distance... [Pg.218]

The method presented in this chapter serves as a link between molecular properties (e.g., cavities and their occupants as measured by diffraction and spectroscopy) and macroscopic properties (e.g., pressure, temperature, and density as measured by pressure guages, thermocouples, etc.) As such Section 5.3 includes a brief overview of molecular simulation [molecular dynamics (MD) and Monte Carlo (MC)] methods which enable calculation of macroscopic properties from microscopic parameters. Chapter 2 indicated some results of such methods for structural properties. In Section 5.3 molecular simulation is shown to predict qualitative trends (and in a few cases quantitative trends) in thermodynamic properties. Quantitative simulation of kinetic phenomena such as nucleation, while tenable in principle, is prevented by the capacity and speed of current computers however, trends may be observed. [Pg.258]

Thus both PVK and TNF PVK represent polymers where the basic microscopic parameters of charge generation, transport and trapping are well understood. [Pg.227]

To determine the latter, a function for the energy distributions between molecules must be known. A detailed consideration of the relations between macroscopic and microscopic parameters can be found in refs. 48 and 49. [Pg.61]

In the solution with a higher concentration, interchain association accompanies intrachain contraction. When interchain association is dominant, (Rh) increases as the temperature increases, leading to a peak in the temperature range of 32-35 °C. At higher temperatures, Rvv(q)/KC stops to increase at 34 °C, as shown in Fig. 27, and reflects the end of interchain association. Therefore, the decrease of (Rh) at temperatures higher than 34 °C is related to further collapse of the PNIPAM chain backbones inside each aggregate. Besides (Rg) and (Rh), a combination of static and dynamic LLS results can also lead to other microscopic parameters of these stable interchain aggre-... [Pg.147]


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Microscope parameters

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