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Entropy calculation methods

Work of Harding and coworkers has clearly established the value of defect entropy calculations using these methods. Moreover, we note that comparisons have been made between entropies and energies calculated using supercell and embedded crystallite techniques. It is reassuring that the techniques yield the same defect parameters for large sizes of the supercell and of the crystallite. [Pg.4535]

Since the macromolecular form must be less orderly and different from the a form, the random-coil form seems plausible. We calculated the a-helix, random coil transition enthalpy from the difference of the spreading enthalpies of the forms on supports I and II (Table V) the average is 830 cal/mole of monomeric unit. Table V also shows the transition entropies calculated as the difference between the spreading entropies of the two forms the average is 3.0 eu. The AH and the single values agree well with those found by others using different methods (42, 43, 44,45, 46, 47, 48, 49,50,51,52, 53) in the bulk phase. [Pg.368]

A computational method, such as the entropy calculation presented in Sect. 4.3.1.3, can be used to eliminate the portions of sequence space where improvement is unlikely (Figure 4.9)182. Pre-screening drastically reduces the number of mutants that have to be experimentally screened. [Pg.117]

Calculation methods of antibody concentration Antibody concentration is mainly used to maintain the diversity of antibodies, improve the local search ability. Antibody concentration calculation method is based on the Euclidean distance between antibodies and information entropy method based on two. This paper adopts the method based on information entropy. Information entropy (Information Entropy) used to indicate that the population diversity of antibodies, antibody concentration obtained by the method of antibody population average information entropy. [Pg.181]

The method of entropy calculation using both the stmctural and the dynamic information of the system suggests the close relationship between the two in liquids. Generally, when the structural order is larger, the dynamics of the system is slower and vice versa. Thus the structure and dynamics of liquid water are coupled to each other. [Pg.298]

Calculation of Thermodynamic Functions from Molecular Properties The calculation methods for thermodynamic functions (entropy S, heat capacities Cp and Cy, enthalpy H, and therefore Gibbs free energy G) for polyatomic systems from molecular and spectroscopic data with statistical methods through calculation of partition functions and its derivative toward temperature are well established and described in reference books such as Herzberg s Molecular Spectra and Molecular Structure [59] or in the earlier work from Mayer and Mayer [7], who showed, probably for the first time in a comprehensive way, that all basic thermochemical properties can be calculated from the partition function Q and the Avagadro s number N. The calculation details are well described by Irikura [60] and are summarized here. Emphasis will be placed on calculations of internal rotations. [Pg.12]

Polymerization entropies can be determined in several ways via the temperature dependence of the equilibrium concentrations of the monomer, via the heat capacity, via the activation constants for polymerization and depolymerization, or via an incremental calculation method. The heat capacity serves to determine the entropy of polymerization because the quotient of specific entropy and specific heat capacity, (A5 /c ) is about unity at 298 K for polymers irrespective of their constitution. False results occur if, for example, monomer association in the vapor phase occurs, or if, with polymers, there is a physical transition in the temperature range between calorimetric measurement and equilibrium measurement. [Pg.91]

Table 9 shows the values of heat capacity C, enthalpy — // ), and entropy 5 from the results in Refs. [0.37, 1.7, 1.33, 1.39, 1.54]. From Table 9 it appears that data in [1.39, 1.54] are practically identical and the values of in Barho s work are on the average 0.5-1% higher than those calculated from the RRHO model. In Chap, it is shown that the calculated data for Freon-22 [0.37] correspond well with the results of direct calorimetric measurements. This confirms the accuracy of Barho s calculation method, and preference should therefore be given to his data. [Pg.7]

Enthalpv/Entropy Correlations. The most expensive item in a turboexpander plant is the compressor which is designed from enthalpy/ entropy calculations. For a fixed horsepower the results are almost the same for Property-75, Peng-Robinson, GPA K H Soave, GPA K H Lee, GPA K H Starling-Han BWR, and GPA-k method. The largest variation predicted is in the discharge temperature (maximum differences of 6.8° and 5.4°F) which would affect the discharge cooler sizes (assuming 120°F) by 3%. [Pg.307]


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