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Intermediate exponent

Figure 8.3 also shows clearly that caution is needed when using Mark-Houwink equations from the literature that have intermediate exponents in the range 0.5 < a < 0.76. Such intermediate exponents correspond to the crossover between regimes and are only valid for the range of molar masses they were measured in. [Pg.317]

ZINDO/I is based on a modified version of the intermediate neglect of differential overlap (INOOh which was developed by Michael /ern cr of the Quan turn Th cory Project at th e Lin iversity oIFIorida. Zerner s original IXDO/1 used the Slater orbital exponents with a distance dependence for the first rorv transition metals only. (See Thvorel. Chirn. Ada (Bed.) 53, 21-54 (1979).) However, in HyperChem con stan I orbital expon en ts are used for all the available elements, as recommended by. Anderson, Kdwards, and /.erner, /norg. Chern. 25, 2728-2732,1986,... [Pg.294]

P. G. De Gennes. Exponents for the excluded volume problem as derived by the Wilson method. Phys Lett 38A 339, 1972 J. des Cloiseaux. The Lagrangian theory of polymer solutions at intermediate concentrations. J Phys 26 281-291, 1975. [Pg.550]

FIG. 34 (a) Log-log plot of i ads(0 ane for an adsorbed layer containing 64 chains (cf) = 0.25), where at time / = 0 the adsorption energy strength e is reduced from e = -4.0 to values between e = -1.2 and e = -0.2, as indicated in the figure. Straight lines show a power law Fads(t) oc over some intermediate range of times. The inset shows that the (effective) exponent a can be fitted to a linear decrease with e. (b) The same data but with the equilibrium part ads(l l) subtracted [23]. [Pg.622]

Again denoting the adiabatic evolution over the intermediate time A, by a prime, Iv = r(A( r), the adiabatic change in the even exponent that appears in the steady-state probability distribution is... [Pg.45]

This is equal and opposite to the adiabatic change in the odd exponent. (More detailed analysis shows that the two differ at order Af, provided that the asymmetric part of the transport matrix may be neglected.) It follows that the steady-state probability distribution is unchanged during adiabatic evolution over intermediate time scales ... [Pg.45]

Time-cure superposition is valid for materials which do not change their relaxation exponent during the transition. This might be satisfied for chemical gelation of small and intermediate size molecules. However, it does not apply to macromolecular systems as Mours and Winter [70] showed on vulcanizing polybutadienes. [Pg.214]

Precise knowledge of the critical point is not required to determine k by this method because the scaling relation holds over a finite range of p at intermediate frequency. The exponent k has been evaluated for each of the experiments of Scanlan and Winter [122]. Within the limits of experimental error, the experiments indicate that k takes on a universal value. The average value from 30 experiments on the PDMS system with various stoichiometry, chain length, and concentration is k = 0.214 + 0.017. Exponent k has a value of about 0.2 for all the systems which we have studied so far. Colby et al. [38] reported a value of 0.24 for their polyester system. It seems to be insensitive to molecular detail. We expect the dynamic critical exponent k to be related to the other critical exponents. The frequency range of the above observations has to be explored further. [Pg.216]

Since it is experimentally observed that carboxylic acids are required to promote glycol production by this system and since acid concentration appears in the empirical rate equation for glycol production with a substantial exponent (ca. 1.8) the formation of a metal-carbon bonded intermediate (step 6) may... [Pg.218]

The simultaneous agreement of exponents in Eqs. (12) and (14) characterizes the crossover condition. Then it is derived that the validity of Eq. (14) corresponds to N(j>>f 3 . This means that for an athermal solvent, where 3=1, the intermediate region governed by Eq. (12) disappears, while for a theta solvent Eq. (14) is not applicable. [Pg.47]

Fig. 21. Comparison of the distributions of randomly branched (full lines) and hyper-branched macromolecules (dashed lines) for f=3 at Jc =25,100, and 1000. The dotted lines represent fits of the distributions to power laws with exponents (l-i)=-1.5 (randomly branched) and -0.5 (hyperbranched), respectively. The intermediate region of the hyper-branched distributions can be described by Eq. (55 )... Fig. 21. Comparison of the distributions of randomly branched (full lines) and hyper-branched macromolecules (dashed lines) for f=3 at Jc =25,100, and 1000. The dotted lines represent fits of the distributions to power laws with exponents (l-i)=-1.5 (randomly branched) and -0.5 (hyperbranched), respectively. The intermediate region of the hyper-branched distributions can be described by Eq. (55 )...
The rate equation gives molecules and ions and the number of each (from the exponents) involved in the slow step and in any preceding fast step(s). Intermediates do not appear in rate equations, although products occasionally do appear. [Pg.38]


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See also in sourсe #XX -- [ Pg.303 , Pg.328 ]

See also in sourсe #XX -- [ Pg.303 , Pg.328 ]




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Exponents

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