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Entropy estimation

Estimated side chain entropies TSppn for each residue simulated that possesses a mobile side chain are given in Table II along with entropy estimates, TSoisorderecb f°r side chains in a tripeptide model for disordered states taken from Creamer (2000), and the difference in entropy, TAS. In all cases, Y .Sppn in the peptides restricted to the PPII conformation is higher than that in disordered states, leading to positive values... [Pg.300]

The modification factor plays a central role in a WL simulation and has several effects. First, its presence violates microscopic detailed balance because it continuously alters the state probabilities, and hence acceptance criterion. Only for g = 0 do we obtain a true Markov sampling of our system. Furthermore, we obviously cannot resolve entropy differences which are smaller than g, yet we need the modification factor to be large enough to build up the entropy estimate in a reasonable amount of simulation time. Wang and Landau s resolution of these problems was to impose a schedule on g, in which it starts at a modest value on the order of one and decreases in stages until a value very near to zero (typically in the range 10 5-10 8). In this manner, detailed balance is satisfied asymptotically toward the end of the simulation. [Pg.102]

Figure 5.16A shows, for example, how calculated Cp values for pyrope compare with low-T calorimetric measurements of Haselton and Westrum (1980). Adopting the initial guess value of (115.7 cm see table 5.25) leads to an entropy estimate at =... [Pg.260]

If a molecule is optically active, R In n must be added to its entropy estimate, where n is the total number of stereoisomers of equal energy. [Pg.84]

A critical examination of the volta potential method has been made by Parsons (40) and by de Bethune (41) and some of the problems of this approach have been summarized by Halliwell and Nyburg (39). Randles (42) has obtained a value for AG° abs. hyd. for H+(g) by a procedure in this category and this combined with entropy estimates yields the value for Wn+ accepted by Rosseinsky (38) in his review, namely —269.7 kcal mole-1. [Pg.74]

Data from Nai l Bur. Standards Circ. 500. For substances at 25°C, I atm, ideal gases. J stimates by author. The entropy estimates are not likidy to be in error by more than 2 c.u. The /(H02) is uncertain values estimated in the literature range from 16 to 2 Kcal/mole. [Pg.454]

Contribution of lattice vibration and conduction electrons to entropy estimated by Skochdopole, Grilfel, and Spedding (168). [Pg.33]

Heat capacity estimated by comparison to the other zirconium halides and titanium halides. Entropy estimated from additive constants. [Pg.1378]

A beam of 0 is allowed to interact with a beam of CS to produce a beam of CO and S. The 0 beam is defined by macroscopic constraints and, therefore, the statistics are well-known. The collision between the 0 and CS produces CO and S. The equations of conservation of momentum and energy do not suffice to describe precisely the final state. There are, in fact, various final states consistent with the known data. Levine uses maximum entropy estimates to describe the initial beams and the final products with excellent agreement between observation and calculation. Levine applies the method to other systems with equally good results. [Pg.284]

Standard state entropies Estimation of S5 and S° using the Domalski-Hearing method was illustrated above in the Enthalpy of Formation section. The standard entropies of formation can be obtained from the values determined in that example. [Pg.485]

On the basis of these comparative studies, the thermodynamics of Am appears to be well-established, the heat of vaporization reported in Ref. 10 being confirmed. It should be noted that the crystal entropy estimate for Am was based on La as a model. In terms of the rare-earth/actinide pairing of Johansson discussed earlier, the entropy for Pr with the magnetic contribution removed would have given a similar result. [Pg.206]

Fig. 7.4 Analogy of entropy estimation. How accurately can one locate a fire by observing airplanes on their way to it ... Fig. 7.4 Analogy of entropy estimation. How accurately can one locate a fire by observing airplanes on their way to it ...
Until such experimental data are available, the predictions in Tables I and II may be used cautiously in appropriate calculations. Probable errors are rather difficult to assess, but certain considerations suggest that the enthalpy and entropy estimates can not be seriously in error ... [Pg.74]

These arguments lend some support to the claim that enthalpy estimates are correct to within 2 kcal./mole and entropy estimates are correct to within 6 cal./mole deg. In fact, even deviations of these magnitudes appear to be unlikely. [Pg.75]

A much higher value of G° (Zr(OH)4, am, fresh, 298.15 K) = - 1439.8 kJ-mof was proposed by [92SLO/KR1] based on a value for Af/7° within the limits of the uncertainty of the value proposed in the present review, but a much lower entropy estimate. A A,.77° value can be calculated from the careful measurements by Turnbull [61TUR2] for the heat of reaction of ... [Pg.126]

Value determined using AGB (corrected with the new values of the reference compounds [22(b)] and entropy estimation performed in Ref [12]. [Pg.391]

We note a general good agreement between DFT and GA. For all but two species, the entropy estimated by GA deviates by less than 0.6 cal mol K The entropy difference for DBF between DFT and GA is 0.58 cal mof K V For the stable hydroperoxide DBFOOH, and the radicals DBF and DBFOO, the difference is less than 0.35 cal mol K Benzofuran (BF), on the other hand, deviates by 1.06 cal mof K. The radical DBFOO shows a serious discrepancy between the two methods which needs to be verified. [Pg.133]

Much work has been done using those quantities as basic measures, not only for quantifying the level of spreading of distributions but also for many other applications, such as, for instance, maximum-entropy estimation and reconstruction of an unknown distribution from very limited information on it. [Pg.420]

O. Edholm and H. J. C. Berendsen, Mol Phys., 51, 1011 (1984). Entropy Estimation from Simulations of Non-Diffusive Systems. [Pg.66]

This example uses the Lee—Kesler generalized correlation for the reduced enthalpy and entropy estimations (see Tables F5—F8). [Pg.66]


See other pages where Entropy estimation is mentioned: [Pg.482]    [Pg.444]    [Pg.143]    [Pg.105]    [Pg.106]    [Pg.151]    [Pg.159]    [Pg.27]    [Pg.45]    [Pg.139]    [Pg.688]    [Pg.342]    [Pg.31]    [Pg.32]    [Pg.212]    [Pg.103]    [Pg.353]    [Pg.284]    [Pg.416]    [Pg.197]    [Pg.216]    [Pg.405]    [Pg.255]    [Pg.50]    [Pg.291]    [Pg.627]    [Pg.537]   
See also in sourсe #XX -- [ Pg.339 ]




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Empirical Estimates of Standard State Entropy

Entropy estimating temperature effects

Entropy-like estimators

Estimating Energies and Entropies

Estimation of Change in Enthalpy, Entropy, and Gibbs Function for Ideal Gases

Estimation, of entropies

Heat Capacity and Surface Entropy Estimation

Typical Examples of Estimating Entropies

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