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Dynamic procedure

To allow for solubility measurements by a dynamic procedure, equilibrium conditions have to be established in the extraction cell. If a sufficiently low flow rate is adjusted, the CO2 passing the extraction cell is loaded with an equilibrium substance amount in the steady state. [Pg.122]

Thus as a starting point for understanding the bombardment process we have developed a classical dynamics procedure to model the motion of atomic nuclei. The predictions of the classical model for the observables can be compared to the data from sputtering, spectrometry (SIMS), fast atom bombardment mass spectrometry (FABMS), and plasma desorption mass spectrometry (PDMS) experiments. In the circumstances where there is favorable agreement between the results from the classical model and experimental data It can be concluded that collision cascades are Important. The classical model then can be used to look at the microscopic processes which are not accessible from experiments In order to give us further insight into the ejection mechanisms. [Pg.44]

In the microfluid dynamics approaches the continuity and Navier-Stokes equation coupled with methodologies for tracking the disperse/continuous interface are used to describe the droplet formation in quiescent and crossflow continuous conditions. Ohta et al. [54] used a computational fluid dynamics (CFD) approach to analyze the single-droplet-formation process at an orifice under pressure pulse conditions (pulsed sieve-plate column). Abrahamse et al. [55] simulated the process of the droplet break-up in crossflow membrane emulsification using an equal computational fluid dynamics procedure. They calculated the minimum distance between two membrane pores as a function of crossflow velocity and pore size. This minimum distance is important to optimize the space between two pores on the membrane... [Pg.486]

To complete this short discussion of the dynamics of reactions we remark that continuum models play an important role in the dynamical procedures. The basic underlying static description G(R) is more easily developed, simple molecular models apart, with a continuum solvation code, and it is more easily extended to include the solvent assisting molecules. Continuum models easily give the vibrations and the elements of... [Pg.26]

In the last few years numerous reports have been published in the field of microwave-promoted aryl halide cyanation, utilizing nickel [71], palladium [72,73] and copper [74,75] catalysis. Even water [75] and ionic liquids [76] have proven useful as solvents in these processes. Srivastava and Collibee have exemplified a swift and dynamic procedure using polymer-supported triphenyl phosphine to enable easy subsequent removal through filtration [72]. As shown in Scheme 19, both bromides and iodides could be activated using palladium catalysis in DMF. Even without optimization of the individual reaction times, the overall process time involving simple filtration and extraction for compound isolation appears to be short. [Pg.115]

Restrained Molecular Dynamics Procedure for Protein Tertiary Structure Determination from NMR Data A lac Repressor Headpiece Structure Based on Information on /-Coupling and from Presence and Absence of NOEs. [Pg.168]

We conclude this section by giving a topical example of the utility of conditional averages in considering molecularly complex systems (Ashbaugh et al, 2004). We considered the RPLC system discussed above (p. 5), but without methanol n-Ci8 alkyl chains, tethered to a planar support, with water as the mobile phase. The backside of the liquid water phase contacts a dilute water vapor truncated by a repulsive wall see Fig. 1.2, p. 7. Thus, it is appropriate to characterize the system as consistent with aqueous liquid-vapor coexistence at low pressure. A standard CHARMM force-field model (MacKerell Jr. et al, 1998) is used, as are standard molecular dynamics procedures - including periodic boimdary conditions - to acquire the data considered here. Our interest is in the interface between the stationary alkyl and the mobile liquid water phases at 300 K. [Pg.19]

The use of a US probe [11,12] orthe sequential use of a US bath and a probe to assist slurry formation [11] is much less frequent. Treated slurries can be transferred to an autosampler or atomizer in various ways ranging from manual pipetting of aliquots to automated dynamic procedures. Once an aliquot has been transferred to an autosampler cup, it can be homogenized by manual shaking, vortexing, with a microprobe, an inert gas stream, etc. [Pg.144]

We now turn to discussion of the computer dynamical procedure, which shows great promise for calculations of static permittivity. The model of Rahman and Stillinger contains sufficient information in the computer program to enable the mean dipole moment A of a sphere of known radius to be calculated at a known temperature. This moment is related to the Kirkwood correlation parameter g by equations (9) and (10), with g defined as in equation (10). [Pg.279]

In summary, this method solves the Schrodinger equation at several intervals of time for the largest possible sample that can be solved with present computational resources. It also creates a force field to compute forces with a classical molecular dynamics procedure in a system containing the largest number of particles that is practical to be used with MD methods. When the time intervals of the ab initio calculations coincide with the time intervals of the molecular dynamics, and when the electron density distribution is used to compute the forces instead of the force field, this method is equivalent to the well known Car-Parrinello method. Evidently, this latter method is limited to a... [Pg.218]

Static methods (Fig. 6.17) determine phase equilibrium data based on overall mass balances. They are often more time consuming and less accurate than dynamic procedures. [Pg.277]

A computer simulation approach has been derived that allows detailed bimolecular reaction rate constant calculations in the presence of these and other complicating factors. In this approach, diffusional trajectories of reactants are computed by a Brownian dynamics procedure the rate constant is then obtained by a formal branching anaylsis that corrects for the truncation of certain long trajectories. The calculations also provide mechanistic information, e.g., on the steering of reactants into favorable configurations by electrostatic fields. The application of this approach to simple models of enzyme-substrate systems is described. [Pg.216]

Dipole Dynamics procedure [86] predict the largest IR intensities occur for the low frequency CIO4- vibrations. The reasons were discussed in Section 9.3.1. For the sake of comparison, computed and experimental IR spectra of the isolated H5O2+ ion are given in Fig. 9.8C and D, respectively. In contrast to the INS spectrum the effects of the crystalline environment are practically not seen in the 1200-1600 cm i region of the IR spectrum. [Pg.295]

The same applies, in different form though, to a molecular dynamics procedure. The random elements here are the starting point and the initial velocities of the atoms. More or less arbitrarily chosen is the size of the time steps At. [Pg.154]

Molecular dynamics, like MC, is a dynamical procedure, but of a deterministic rather than stochastic nature. One starts from an arbitrary configuration and an initial set of particle velocities, and Newton s equations of motion of the system are integrated numerically as a function of time this time (unlike the MC time) corresponds to the real time. For fluids, MC and MD have comparable efficiency. For dense materials like proteins, MD is the more efficient because the random MC trial moves are rejected with high probability unless the moves are very small. The difficulty in obtaining the entropy with MC (discussed above) applies also to MD. [Pg.17]

The use of DSC to investigate chemical kinetics deserves special mention. It has excited more interest and more controversy than perhaps any other area of application. It continues to generate an enormous output of literature. The basis for obtaining kinetic parameters is to identify the rate of reaction with the DSC signal and the extent of reaction with the fractional area of the peak plotted against time. It is possible to obtain the three variables, rate of reaction, extent of reaction and temperature by carrying out a series of isothermal experiments at different temperatures in much the same way as in classical kinetic investigations. The experimental procedure is not without its difficulty but the interpretation of the results is less contentious than with the alternative dynamic procedures. [Pg.64]


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See also in sourсe #XX -- [ Pg.69 ]




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Alternative Dynamic Calibration Procedures

Dynamic light scattering procedure

Dynamic membranes procedures

Experimental procedure dynamic mechanical testing

Experimental procedure molecular dynamics simulation

Explicit dynamics procedure

Molecular dynamic procedures

Molecular dynamics simulation procedure

Standard Practice for Plastics Dynamic Mechanical Properties Determination and Report of Procedures

Thermal dynamic mechanical analysis procedure

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