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Energy-volume method

We assume that the unbinding reaction takes place on a time scale long ( ompared to the relaxation times of all other degrees of freedom of the system, so that the friction coefficient can be considered independent of time. This condition is difficult to satisfy on the time scales achievable in MD simulations. It is, however, the most favorable case for the reconstruction of energy landscapes without the assumption of thermodynamic reversibility, which is central in the majority of established methods for calculating free energies from simulations (McCammon and Harvey, 1987 Elber, 1996) (for applications and discussion of free energy calculation methods see also the chapters by Helms and McCammon, Hermans et al., and Mark et al. in this volume). [Pg.55]

This principle has been applied in a contribution by Mark, Schafer, Liu and van Gunsteren to this volume, and in section 6 of this article. For a review of free energy perturbation methods see [8]. [Pg.136]

Energy Perturbation Methods. In Lipkowitz K B and D B Boyd (Editors) Reviews in Compiitalio Oieniistry Volume 1. New York, VCH Publishers, pp. 295-320. [Pg.649]

The axial pressure and temperature distributions for the molten resin in the melt-conveying channel are calculated using the control volume method outlined in Section 7.7.5. For this method, the change in pressure and temperature are calculated using the local channel dimensions, HJ z) and FK (z), and the mass flow rate in the channel using Eq. 7.54 for flow and the methods in Section 7.7.5.1 for energy dissipation and temperature. The amount of mass added to the melt chan-... [Pg.222]

The temperature increase calculation in Sections 7.7.1 and 7.7.2 was based on the viscosity using the temperature at the entry to the metering section. Because the temperature of the resin increases as it flows downstream, the shear viscosity continuously decreases. A better method to calculate the temperature of the resin in the channel is to divide the channel into many Az or Az increments, and then for each increment, perform an energy balance on each control volume [67]. A schematic of the control volume is shown in Fig. 7.36. The energy balance includes convection into and out of the volume, dissipation due to rotation and pressure flows, and energy conduction through the barrel wall and the root of the screw. This section will describe a control volume method for temperature calculation for both screw rotation and barrel rotation. [Pg.314]

The simplified method for calculation of the temperature profile using the control volume method and screw rotation is shown by Eq. A7.20f. The simplified calculation under-predicts the energy dissipation. [Pg.757]

In considering fluids, a variety of approaches have been used to compute entropy and free energy a free-volume method,111-112 thermodynamic perturbation theory,113-116 thermodynamic integration,117-121 umbrella sampling,122-124 and a Monte Carlo recursion method.125-126 The entropy of association of two protein molecules in water has also been computed.127... [Pg.93]

What determines whether a process under consideration will be spontaneous Where does a spontaneous process end How are energy, volume, and matter partitioned between the system and surroundings at equilibrium What is the nature of the final equilibrium state These questions cannot be answered by the first law. Their answers require the second law and properties of the entropy, and a few developments are necessary before we can address these questions. We define entropy by molecular motions in Section 13.2 and by macroscopic process variables in Section 13.3. Finally, we present the methods for calculating entropy changes and for predicting spontaneity in Section 13.5. [Pg.533]

The finite volume method ensures integral conservation of mass, momentum and energy and is, therefore, attractive for reactor engineering applications. The steps in applying the finite volume method to solve transport equations are listed below. [Pg.185]

Exact numerical results are used to validate the available approximate models described by Eqs. (16)-(19). The comparison is shown in Fig. 4 for particles with scaled radii Rk = 0.1 and Rk = 15. The interaction energy was determined for two identical spheres in a z z electrolyte solution. The approximate solutions are given by Eqs. (16)-(19) and the equation for the HHF model given in Table 3. For the exact numerical solution, the full Poisson-Boltzmann equation was discretized and solved by the finite volume method. The results have been plotted for two particle sizes kR = 0.1 (Fig. 4A) and k/ = 15 (Fig. 4B). [Pg.2026]

The free energy difference methods reviewed in this chapter, unless specified otherwise, are discussed for conditions of constant volume and constant temperature (NVT). The extension to ensembles of other types is straightforward.The classical canonical partition function is determined by the classical Hamiltonian 3 6(p, q ), describing the interactions of all N particles in the system in terms of the set of generalized coordinates and conjugated momenta p. For a system with N particles at temperature T, the canonical partition function can be written as... [Pg.82]

Thus, the study of two-phase flows in diffuser-confusor devices can provide us with reliable results, based on the interpenetrating continuum model (the Euler approach). The numerical solution of the partial derivatives of the differential equations in the C-e turbulence model, using the implicit integro-interpolation finite volume method, provides us with the following fields of functions for a diffuser-confusor reactor axial u and radial v rates for each of the phases pressure p volume fractions of continuous and dispersed phases specific kinetic energy of turbulence k and its dissipation s, as well as some other characteristics. [Pg.57]


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