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Nonequilibrium structures

Castets V, Dulos E, Boissonade J and De Kepper P 1990 Experimental evidence of a sustained standing Turing-type nonequilibrium structure Rhys. Rev. Lett. 64 2953-6... [Pg.1117]

A brief review is given of the important qualitative features of thermoplastic elastomers. Particular emphasis is given to the molecular structure, bulk morphology and interfacial character of these materials. Both equilibrium and nonequilibrium structures are discussed... [Pg.484]

One can have the same type of situation in a blend of two mutually immiscible polymers (e.g., polymethylbutene [PMB], polyethylbutene [PEB]). When mixed, such homopolymers form coarse blends that are nonequilibrium structures (i.e., only kinetically stable, although the time scale for phase separation is extremely large). If we add the corresponding (PEB-PMB) diblock copolymer (i.e., a polymer that has a chain of PEB attached to a chain of PMB) to the mixture, we can produce a rich variety of microstructures of colloidal dimensions. Theoretical predictions show that cylindrical, lamellar, and bicontinuous microstructures can be achieved by manipulating the molecular architecture of block copolymer additives. [Pg.18]

One of the major difficulties in developing theories of the rheology of coagulated or flocculated dispersions is that the microstructures of the aggregates are nonequilibrium structures under shear. Understandably, the rheology of such dispersions is history dependent, as we have seen above, and requires computer simulations and nonequilibrium statistical mechanics for proper study. [Pg.181]

N.G. van Kampen, in Instabilities and Nonequilibrium Structures (E. Tirapegui and D. Villarroel eds., Reidel, Dordrecht 1987). [Pg.325]

One can see such frozen structures that were formed due to an auto-catalytic reaction in tektites.12 There are several other geological processes that show such freezing of nonequilibrium structures.13... [Pg.56]

As fluctuations are an intrinsic part of a thermodynamic system, a discussion of nonequilibrium structures is not complete without the consideration of the consequences of fluctuations. Unlike equilibrium systems, nonequilibrium systems do not have a general prescription, like the Einstein formula, to describe the fluctuations. Nonequilibrium fluctuations are highly specific. The importance of fluctuations appears clearly in the way they alter the macroscopic behavior in the vicinity of the bifurcation point and also in the way the coherence of a structure depends on the dimensionality of the system in the face of the destructive influence of fluctuations. [Pg.58]

Another argument in favor of XRD is that catalytic activity should be related to the defects (or "nanostructure") of a solid catalyst. Active sites are nonequilibrium structures and are therefore not part of the bulk structures that are most commonly determined by diffraction analysis. XRD is, however, in many ways sensitive to the deviations from perfect ordering of the unit cells in a perfect crystal hence, XRD can be used to detect the nanostructure representing deviations from an ideal crystal. [Pg.275]

C.2.3. UHV CO Spectra and Assignment of Bands. Figure 23 displays SFG spectra of CO on palladium particles of 6 and 3.5 nm mean diameters. The model catalysts were cooled from 225 to 105 K in 10 mbar of CO (to avoid nonequilibrium structures), resulting in a CO saturation coverage. For interpretation of the spectra, the resonance positions are marked with dashed lines in Fig. 23. [Pg.177]

The reason for this is that with a direct current, an unwanted ionic layer forms at the interfaces with the solution of the electrodes used to make contact with the outside power source. These nonequilibrium structures at the surface-solution boundaries create a new resistance that interferes with the solution resistance one is trying to measure. This is wiped out if an alternating current, which keeps on reversing the structure at the interface, is applied. [Pg.529]

The first three or four of these experimental difficulties arise because of the nonequilibrium structure of strongly flocculated gels. Particles bound strongly together in their... [Pg.337]

Some isotherms of water vapours sorption-desorption are presented in Fig, 1. In the first cycle of sorption, the isotherms have a pronounced stepwise character, and the values of water vapour sorption are unusually low for wood specimens. This is connected with the strict drying conditions of the specimens 378K at a rapid rise in temperature) after the exposure procedure, which resulted in the fixation of the nonequilibrium structure. After saturation with water vapours and the subsequent vacuum treatment at 295K during the procedure of the sorption experiment, the second cycle of isotherms was carried out, and this state was regarded as an equilibrium one. Thus, the analysis of the specimens structure was performed on the basis of the sorption-desorption isotherms of the second cycle. [Pg.1557]

There are two interesting regimes of time evolution in the probing/detection of dynamical nonequilibrium structures. In the regime of dynamics, the time evolution of atomic positions is detected on its intrinsic timescale, i.e., femtoseconds. Short X-ray pulses - on the timescale of atomic motion - are required in order to follow the dynamics of the chemical bond. In the regime of kinetics, which has to do with the time evolution of populations - and in the context of time-resolved X-ray diffraction -the time evolution in an ensemble average of different interatomic distances or the structural determination of short-lived chemical species is considered. [Pg.208]

As emphasized in this review, time-resolved X-ray diffraction of dynamical nonequilibrium structures involve, at any given time, the signal from a distribution of structures, as described by quantum mechanical wave-packets in the case of pure states. Thus, the interpretation of experimental data is nontrivial. For isolated molecules, direct inversion of diffraction data is possible in some cases as illustrated in this review. This approach might be useful also for reactions in the liquid phase - for the short-time dynamics before interaction with the solvent plays an important role. [Pg.210]

These nonequilibrium structures can be removed by heating the solid for an appropriate amount of time at a temperature below that of the solidus, a process called annealing. Annealing is effective only if the atoms can diffuse in the solid to correct the compositional differences generated during the cooling. [Pg.231]

The contact of solutions that possess more than one common ion, in particular all contacts of solutions with identical or miscihle solvents, exhibits a more complicated phenomenon. At the initial stage, all exchangeable ions are transferred across the boundary generating a long-living nonequilibrium structure, liquid junction (LJ) , which retains its diffusion potential difference for an extended time, despite the absence of the thermodynamic equilibrium (different compositions) between the interphase and two bulk phases. If the solutions in contact have the same solvent, this potential drop is usually relatively small, mostly within a few dozen mV or less (but it may sometimes reach a much larger value for dilute solutions even in the same solvent). Elaborated procedures for its calculation as a function of the solutions composition exist [12]. For nonidentical solvents, this potential difference may be much larger. [Pg.36]

Genuine Turing patterns are nonequilibrium structures and can occur only in open systems. This requirement represents the first obstacle on the way to an experimental realization of Turing patterns. Needed is an open reactor, an unstirred flow reactor, which can play the same role for spatial patterns that the CSTR plays for temporal patterns. This instrumentation problem was solved in the second half of the 1980s by the Austin group. They developed two types of open spatial reactors, the Couette reactor [433,335,456,336] and the continuously fed unstirred reactor (CFUR) [322, 432,431, 323]. The latter proved to be instrumental in the experimental realization of Turing patterns. [Pg.346]


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See also in sourсe #XX -- [ Pg.309 ]

See also in sourсe #XX -- [ Pg.73 ]




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