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Volume interaction relaxation

On macroscopic length scales, as probed for example by dynamic mechanical relaxation experiments, the crossover from 0- to good solvent conditions in dilute solutions is accompanied by a gradual variation from Zimm to Rouse behavior [1,126]. As has been pointed out earlier, this effect is completely due to the coil expansion, resulting from the presence of excluded volume interactions. [Pg.87]

Formally, the H-theorem valid for general Fokker-Planck equations states that the solution of (3) becomes unique at long times [47], Yet, because colloidal particles have a non-penetrable core and exhibit excluded volume interactions, corresponding to regions where the potential is infinite, and the proof of the H-theorem requires fluctuations to overcome all barriers, the formal H-theorem may not hold for nondilute colloidal dispersions. Nevertheless, we assume that the system relaxes into a unique stationary state at long times, so that f (f 1 holds. This assumption... [Pg.66]

The differences in these processes lies in the availability of the penetrant (whether an unlimited pool of liquid or a limited-supply), the eoncentration gradient, the reaction of surrounding molecules (relaxation rate), and physical conditions (temperature, amount of free volume, interactions, etc.). These diverse inflnences make aity description complex. Fick s first law is given by the equation ... [Pg.151]

In any of the electromechanical devices, strong electric fields act on the permanent or induced dipoles present along the polymeric chains promoting coulombic interactions, forcing conformational movements on the polymeric chains and concomitant macroscopic changes of volume, which relax in the absence of the electric field. Similar coulombic interactions occur when a solvent and ions are present, giving electrokinetic (electroosmotic and electrophoretic) processes. So, electrostatic and mechanical models applied to polymeric materials are required to model the attained responses. No chemical reaction is required for the actuation of those devices. [Pg.1652]

In order to proceed, I have to make some assumptions about the chain statistics and about the form of the crystal. The latter should be given again by the model sketched in (Fig. 2.2). In particular, all stems should have the same length. To start with a tractable model, I wU] further ignore excluded volume interactions between the segments of the amorphous fraction as well as the conformational constraints due to the impenetrable crystalline surface. Furthermore, I treat the chain statistics as Gaussian and ignore effects of finite flexibility of the chain. These relaxed conditions overestimate the entropy of the amorphous fraction. 1 will reconsider these approximations in the context of the exact solution for the idealized model. [Pg.29]

Abstract In this chapter, we summarize the basic knowledge required to implement Monte Carlo simulations applied to the study of polyelectrolytes in solution. We describe the coarse-grain model used, which emphasizes on electrostatic and excluded volume interactions. The basic foundations of statistical mechanics required to understand the implementation of this method are developed in detail. We also describe the special Monte Carlo moves required to achieve the efficient relaxation of polyelectrolyte chains. Finally, we present some results obtained for the stmcture of polyelectrolyte chains, counterion condensation (along with comparison with experimental results), and the morphology of polyelectrolyte complexes. [Pg.349]

The above results for the Rouse model are applicable to the experimental conditions where the hydrodynamic and excluded volume interactions and the entanglement effects can be completely ignored. We shall identify such an experimental regime later on. Now, we attempt to incorporate the hydrodynamic interaction in describing the chain dynamics in infinitely dilute solutions. The Rouse chain model incorporating the effect of hydrodynamic interaction is called the Kirkwood-Riseman modeF or Zimm model. These models differ from each other in certain subtle features and the numerical prefactors only the predicted molecular weight dependence of the longest relaxation time, viscosity of the solution, diffusion coefficient, etc. are the same. [Pg.31]

An analysis of the intramolecular dynamics in terms of the Rouse modes yields non-exponentially decaying autocorrelation functions of the mode amphmdes. At very short times, a fast decay is found, which turns into a slower exponential decay which is well fitted by Ap exp(-f/Tp), see Fig. 13. Within the accuracy of these calculations, the correlation functions exhibit universal behavior. Zimm theory predicts the dependence Tp for the relaxation times on the mode number for polymers with excluded-volume interactions [6]. With v = 0.62, the exponent a for the polymer of length Am = 40 is found to be in excellent agreement with the theoretical prediction. The exponent for the polymers with Am = 20 is slightly larger. [Pg.52]

Particle bmshes are considered to be sparse if the average distance between surface-bound polymer chains is large enough to prevent excluded volume interactions. Thus the notion of CPB and SDPB regimes does not relate to sparse bmsh systems. In analogy to sparse (planar) polymer bmsh S3 tems the chains are considered to be in the mushroom regime, in which chains assume relaxed conformations. ... [Pg.322]

Although blood pressure control follows Ohm s law and seems to be simple, it underlies a complex circuit of interrelated systems. Hence, numerous physiologic systems that have pleiotropic effects and interact in complex fashion have been found to modulate blood pressure. Because of their number and complexity it is beyond the scope of the current account to cover all mechanisms and feedback circuits involved in blood pressure control. Rather, an overview of the clinically most relevant ones is presented. These systems include the heart, the blood vessels, the extracellular volume, the kidneys, the nervous system, a variety of humoral factors, and molecular events at the cellular level. They are intertwined to maintain adequate tissue perfusion and nutrition. Normal blood pressure control can be related to cardiac output and the total peripheral resistance. The stroke volume and the heart rate determine cardiac output. Each cycle of cardiac contraction propels a bolus of about 70 ml blood into the systemic arterial system. As one example of the interaction of these multiple systems, the stroke volume is dependent in part on intravascular volume regulated by the kidneys as well as on myocardial contractility. The latter is, in turn, a complex function involving sympathetic and parasympathetic control of heart rate intrinsic activity of the cardiac conduction system complex membrane transport and cellular events requiring influx of calcium, which lead to myocardial fibre shortening and relaxation and affects the humoral substances (e.g., catecholamines) in stimulation heart rate and myocardial fibre tension. [Pg.273]

Equation (23) predicts a dependence of xR on M2. Experimentally, it was found that the relaxation time for flexible polymer chains in dilute solutions obeys a different scaling law, i.e. t M3/2. The Rouse model does not consider excluded volume effects or polymer-solvent interactions, it assumes a Gaussian behavior for the chain conformation even when distorted by the flow. Its domain of validity is therefore limited to modest deformations under 0-conditions. The weakest point, however, was neglecting hydrodynamic interaction which will now be discussed. [Pg.91]

The volumes of activation for some additions of anionic nucleophiles to arenediazonium ions were determined by Isaacs et al. (1987) and are listed in Table 6-1. All but one are negative, although one expects — and knows from various other reactions between cations and anions — that ion combination reactions should have positive volumes of activation by reason of solvent relaxation as charges become neutralized. The authors present various interpretations, one of which seems to be plausible, namely that a C — N—N bond-bending deformation of the diazonium ion occurs before the transition state of the addition is reached (Scheme 6-2). This bondbending is expected to bring about a decrease in resonance interaction in the arenediazonium ion and hence a charge concentration on Np and an increase in solvation. [Pg.108]

Strain of small ring molecules cannot be fully understood in terms of the deviation of the bond angles from the ideal ones of the hybrid orbitals. The mechaitism of the relaxation of the strain has been proposed. Here, we briefly review a relaxation by the a—kj interactions between the geminal a bonds in the rings and % relaxation by the Ji—kj interaction between the endocyclic n bond with the vicinal a bonds on the ring atoms. A more detailed review is made by Naruse and Inagaki elsewhere in this volume. [Pg.121]

Perrin model and the Johansson and Elvingston model fall above the experimental data. Also shown in this figure is the prediction from the Stokes-Einstein-Smoluchowski expression, whereby the Stokes-Einstein expression is modified with the inclusion of the Ein-stein-Smoluchowski expression for the effect of solute on viscosity. Penke et al. [290] found that the Mackie-Meares equation fit the water diffusion data however, upon consideration of water interactions with the polymer gel, through measurements of longitudinal relaxation, adsorption interactions incorporated within the volume averaging theory also well described the experimental results. The volume averaging theory had the advantage that it could describe the effect of Bis on the relaxation within the same framework as the description of the diffusion coefficient. [Pg.584]


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