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Non-random

A situation that arises from the intramolecular dynamics of A and completely distinct from apparent non-RRKM behaviour is intrinsic non-RRKM behaviour [9], By this, it is meant that A has a non-random P(t) even if the internal vibrational states of A are prepared randomly. This situation arises when transitions between individual molecular vibrational/rotational states are slower than transitions leading to products. As a result, the vibrational states do not have equal dissociation probabilities. In tenns of classical phase space dynamics, slow transitions between the states occur when the reactant phase space is metrically decomposable [13,14] on the timescale of the imimolecular reaction and there is at least one bottleneck [9] in the molecular phase space other than the one defining the transition state. An intrinsic non-RRKM molecule decays non-exponentially with a time-dependent unimolecular rate constant or exponentially with a rate constant different from that of RRKM theory. [Pg.1011]

The first classical trajectory study of iinimoleciilar decomposition and intramolecular motion for realistic anhannonic molecular Hamiltonians was perfonned by Bunker [12,13], Both intrinsic RRKM and non-RRKM dynamics was observed in these studies. Since this pioneering work, there have been numerous additional studies [9,k7,30,M,M, ai d from which two distinct types of intramolecular motion, chaotic and quasiperiodic [14], have been identified. Both are depicted in figure A3,12,7. Chaotic vibrational motion is not regular as predicted by tire nonnal-mode model and, instead, there is energy transfer between the modes. If all the modes of the molecule participate in the chaotic motion and energy flow is sufficiently rapid, an initial microcanonical ensemble is maintained as the molecule dissociates and RRKM behaviour is observed [9], For non-random excitation initial apparent non-RRKM behaviour is observed, but at longer times a microcanonical ensemble of states is fonned and the probability of decomposition becomes that of RRKM theory. [Pg.1026]

Apparent non-RRKM behaviour occurs when the molecule is excited non-randomly and there is an initial non-RRKM decomposition before IVR fomis a microcanonical ensemble (see section A3.12.2). Reaction patliways, which have non-competitive RRKM rates, may be promoted in this way. Classical trajectory simulations were used in early studies of apparent non-RRKM dynamics [113.114]. [Pg.1035]

It is evident that many solutions fall between these limiting categories, with both energetic and entropic effects contributing to solution non-ideality. For example, if the energy of interaction between unlike species in a solution is highly favored over like-like interactions, it is obvious that these interactions will be preferred, a fact which in itself will lead to non-randomness of the packing in the solution. [Pg.48]

Another formal shortcoming of Scatchard-Hildebrand theory, or any of its variants, is its requirement that the interacting molecules be of essentially the same size and shape. This disallows an accounting for any non-randomness of the pack-... [Pg.57]

The simplest type of solutions which exhibit non-randomness are those in which the non-randomness is attributable solely to geometric factors, i.e. it does not come from non-ideal energetic effects, which are assumed equal to zero. This is the model of an athermal solution, for which... [Pg.58]

Crl, Grr, A r and A r are the potential parameters of the constituents A and B of the alloy, S r r r, is the structure matrix in the most localized representation, tir are local site-occupation variables which randomly takes value 1 or 0 according to whether the site is occupied by an atom of type A or not, with probabilities proportional to the concentrations of the constituents. According to the prescription of the augmented space formalism, the effective non-random Hamiltonian H in augmented space is then... [Pg.65]

A different approach is adopted here. Within the LMTO-ASA method, it is possible to vary the atomic radii in such a way that the net charges are non-random while preserving the total volume of the system . The basic assumption of a single-site theory of electronic structure of disordered alloys, namely that the potential at any site R depends only on the occupation of this site by atom A or B, and is completely independent of the occupation of other sites, is fulfilled, if the net charges... [Pg.134]

We assume that polymer molecules consist of a large number of chain segments of equal length, joined by flexible links. Each link then occupies one site on the lattice. The solution has to be sufficiently concentrated that the occupied lattice sites are distributed at random, rather than having them clustered together in a non-random way. [Pg.70]

A. W. Lo and A. C. MacKinlay, A Non-Random Walk Down Wall Street. Princeton University Press, Princeton, NJ, 1999. [Pg.38]

Controlled trials comparing risperidone with typical drugs have provided inconclusive results overall. Of five non-randomized studies (Table 2.5) only one (Malla, 1998) indicated that risperidone use might result in lower costs by reducing time spent in hospital. [Pg.23]

The non-random distribution of bacteria in biofilms has important applications for industry (biofouling, corrosion) and in medical practice (use of apphances within the human body). [Pg.272]

Under these circumstances the probability that a given structural unit is cross-linked is not entirely independent of the status of other units in the same primary molecule. If an abnormally large fraction of some of the units of a given primary molecule are found to be cross-linked, the likelihood that it was formed toward the end of the polymerization process is enhanced hence the probability that one of its other units is cross-linked will be greater than the over-all p for the system. Calculations indicate that the magnitude of the non-randomness is not excessive below about 70 percent conversion. For most purposes its effect probably may be ignored without serious error, thus obviating a more elaborate theory which would take into account non-randomness of this nature. [Pg.389]

Renon used the concept of local composition to develop a non-random, two-liquid (NRTL) three parameter (al2, tp, ti() equations given below (Prausnitz et al., 1986). [Pg.276]

The parameter g,j is an energy parameter characteristic of the i-j interaction. The parameter an is related to the non-randomness in the mixture. The NRTL model contains three parameters which are independent of temperature and composition. However, experience has shown that for a large number of binary systems the parameter al2 varies from about 0.20 to 0.47. Typically, the value of 0.3 is set. [Pg.277]

Citalopram Non-randomized trial demonstrated efficacy in hot flash reduction 20-60 mg daily Nausea, dizziness, somnolence... [Pg.775]

Unfortunately, many clinical studies evaluating the efficacy of dietary supplements are flawed. Some of the flaws in the studies include non-randomization, being unblinded, lack of standardized products, small sample sizes, short treatment durations, and poorly defined inclusion and exclusion criteria. Many studies do not give detailed information about the dietary supplement used. When an herb is studied, the following information should be described plant species, part(s) used, product form (e.g., powdered crude herb, aqueous extract, ethanol extract, or aqueous alcohol extract) with stated proportions of water to alcohol, specifically extracted fractions, and quantities or concentrations used [48]. [Pg.739]

King, R. A., Mentink, M. M., and Oetting, W. S. (1991). Non-random distribution of missense mutations within the human tyrosinase gene in type I (tyrosinase-related) oculocutaneous albinism. Mol. Biol. Med. 8 19-29. [Pg.173]

The third step is to select the number of iterations or calculations of dose that are to be performed as a part of each simulation. For the analysis here, a total of 10,000 iterations based on the selection of input variables from each defined distribution were performed as part of each simulation. The large number of iterations performed, as well as the Latin hypercube sampling (non-random sampling) technique employed by the Crystal Ball simulation program, ensured that the input distributions were well characterized, that all portions of the distribution (such as the tails) were included in the analysis, and that the resulting exposure distributions were stable. [Pg.38]


See other pages where Non-random is mentioned: [Pg.1010]    [Pg.2368]    [Pg.532]    [Pg.47]    [Pg.47]    [Pg.81]    [Pg.171]    [Pg.48]    [Pg.27]    [Pg.65]    [Pg.134]    [Pg.135]    [Pg.10]    [Pg.11]    [Pg.86]    [Pg.65]    [Pg.129]    [Pg.135]    [Pg.175]    [Pg.39]    [Pg.204]    [Pg.260]    [Pg.127]    [Pg.378]    [Pg.345]    [Pg.112]    [Pg.261]    [Pg.124]    [Pg.128]    [Pg.282]   
See also in sourсe #XX -- [ Pg.98 ]

See also in sourсe #XX -- [ Pg.65 ]

See also in sourсe #XX -- [ Pg.42 ]




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