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Scaling simulated

A fiirther theme is the development of teclmiques to bridge the length and time scales between truly molecular-scale simulations and more coarse-grained descriptions. Typical examples are dissipative particle dynamics [226] and the lattice-Boltzmaim method [227]. Part of the motivation for this is the recognition that... [Pg.2278]

Watanabe, M., Karplus, M. Dynamics of Molecules with Internal Degrees of Freedom by Multiple Time-Step Methods. J. Chem. Phys. 99 (1995) 8063-8074 Figueirido, F., Levy, R. M., Zhou, R., Berne, B. J. Large Scale Simulation of Macromolecules in Solution Combining the Periodic Fast Multiple Method with Multiple Time Step Integrators. J. Chem. Phys. 106 (1997) 9835-9849 Derreumaux, P., Zhang, G., Schlick, T, Brooks, B.R. A Truncated Newton Minimizer Adapted for CHARMM and Biomolecular Applications. J. Comp. Chem. 15 (1994) 532-555... [Pg.347]

A variety of techniques have been introduced to increase the time step in molecular dynamics simulations in an attempt to surmount the strict time step limits in MD simulations so that long time scale simulations can be routinely undertaken. One such technique is to solve the equations of motion in the internal degree of freedom, so that bond stretching and angle bending can be treated as rigid. This technique is discussed in Chapter 6 of this book. Herein, a brief overview is presented of two approaches, constrained dynamics and multiple time step dynamics. [Pg.62]

Fig. 17-3. Annual mean radiation by latitude. Note that the latitude scale simulates the amount of the earth s surface area between the latitude bands. Incoming radiation is that absorbed by earth and atmosphere. Outgoing radiation is that leaving the atmosphere. Source After Byers (2) (1 cal cm min = 697.58 W m ). Fig. 17-3. Annual mean radiation by latitude. Note that the latitude scale simulates the amount of the earth s surface area between the latitude bands. Incoming radiation is that absorbed by earth and atmosphere. Outgoing radiation is that leaving the atmosphere. Source After Byers (2) (1 cal cm min = 697.58 W m ).
C. C. Battaille, D. J. Srolvitz, J. E. Butler. A kinetic Monte Carlo method for the atomic-scale simulation of chemical vapor deposition application to diamond. J App Phys 52 6293, 1997. [Pg.928]

While CAM-6 is somewhat limited in its ability to perform large-scale simulations of physical systems (it is a much less capable system than its follow-on, the CAM-8, for example see discussion below), its fundamental historical importance cannot be overstated. CAM-6 allowed researchers to directly experience, for the first time and in real time, the evolution of CA systems theretofore undertsood only as purely conceptual models. Margolus and Toffoli recall that when Pomeau, one of... [Pg.713]

Boundary layer similarity solution treatments have been used extensively to develop analytical models for CVD processes (2fl.). These have been useful In correlating experimental observations (e.g. fi.). However, because of the oversimplified fiow description they cannot be used to extrapolate to new process conditions or for reactor design. Moreover, they cannot predict transverse variations In film thickness which may occur even In the absence of secondary fiows because of the presence of side walls. Two-dimensional fully parabolized transport equations have been used to predict velocity, concentration and temperature profiles along the length of horizontal reactors for SI CVD (17,30- 32). Although these models are detailed, they can neither capture the effect of buoyancy driven secondary fiows or transverse thickness variations caused by the side walls. Thus, large scale simulation of 3D models are needed to obtain a realistic picture of horizontal reactor performance. [Pg.361]

Ab initio methods allow the nature of active sites to be elucidated and the influence of supports or solvents on the catalytic kinetics to be predicted. Neurock and coworkers have successfully coupled theory with atomic-scale simulations and have tracked the molecular transformations that occur over different surfaces to assess their catalytic activity and selectivity [95-98]. Relevant examples are the Pt-catalyzed NO decomposition and methanol oxidation. In case of NO decomposition, density functional theory calculations and kinetic Monte Carlo simulations substantially helped to optimize the composition of the nanocatalyst by alloying Pt with Au and creating a specific structure of the PtgAu7 particles. In catalytic methanol decomposition the elementary pathways were identified... [Pg.25]

FIG. 42. Simulated depth distributions of (a) hydrogen and (b) silicon ions incident ona-Si H with energies of 10 and 50 eV. Note the difference in depth scale. Simulations were performed with TRIM92. [Pg.115]

In order to ensure accurate CG potentials, one needs to conduct MD simulations with a reliable atomistic potential model. The most desirable theoretical approach for the atomistic-scale simulations would be to use a level of quantum mechanics (QM) that can treat both intermolecular and intramolecular interactions with acceptable accuracy. Realistically, the minimal QM levels of theory that can adequately treat all different types of chemical forces are second order perturbation theory [32] (MP2)... [Pg.199]

Collins et al. (1971) carried out an experimental program to investigate parallel-channel instability in a full-scale simulated nuclear reactor channel op-... [Pg.412]

Collins, D. B., and M. Gacesa, 1969, Hydrodynamic Instability in a Full-Scale Simulated Reactor Channel, Proc. Inst. Mech. Eng. 184. (6)... [Pg.528]

The effective potentials described in this chapter, on the other hand, are suited to relatively weak intermolecular quantum effects and require only a slight additional computational overhead - more terms in the potential - relative to routine classical simulations. Therefore, systems with tens of thousands of atoms can readily be modeled. This makes possible the large-scale simulation of biomolecule solvation with... [Pg.418]

Physical models of commercial fluidized bed equipment provide an important source of design information for process development. A physical model of a commercial fluidized bed processor provides a small-scale simulation of the fluid dynamics of a commercial process. While commercial processes will typically operate at conditions making direct observation of bed fluid dynamics difficult (high temperature, high pressure, corrosive... [Pg.317]

Yang et al. (1995) described the application of this scale-up approach. Comprehensive testing programs were performed on two relatively large-scale simulation units for a period of several years a 30-cm diameter (semicircular) Plexiglas cold model and a 3-m diameter (semicircular) Plexiglas cold model, both operated at atmospheric pressure. [Pg.318]

Computer simulations of confined polymers have been popular for several reasons. For one, they provide exact results for the given model. In addition, computer simulations provide molecular information that is not available from either theory or experiment. Finally, advances in computers and simulation algorithms have made reasonably large-scale simulations of polymers possible in the last decade. In this section I describe computer simulations of polymers at surfaces with an emphasis on the density profiles and conformational properties of polymers at single flat surfaces. [Pg.91]

Arnold JG, Srinivasan R, Muttiah RS, Allen PM (1999) Continental scale simulation of the hydrologic balance. J Am Water Resour Assoc 35(5) 1037-1051... [Pg.73]

The methods used for modeling pure granular flow are essentially borrowed from that of a molecular gas. Similarly, there are two main types of models the continuous (Eulerian) models (Dufty, 2000) and discrete particle (Lagrangian) models (Herrmann and Luding, 1998 Luding, 1998 Walton, 2004). The continuum models are developed for large-scale simulations, where the controlling equations resemble the Navier-Stokes equations for an ordinary gas flow. The discrete particle models (DPMs) are typically used in small-scale simulations or... [Pg.68]

As a matter of fact, one may think of a multiscale approach coupling a macroscale simulation (preferably, a LES) of the whole vessel to meso or microscale simulations (DNS) of local processes. A rather simple, off-line way of doing this is to incorporate the effect of microscale phenomena into the full-scale simulation of the vessel by means of phenomenological coefficients derived from microscale simulations. Kandhai et al. (2003) demonstrated the power of this approach by deriving the functional dependence of the singleparticle drag force in a swarm of particles on volume fraction by means of DNS of the fluid flow through disordered arrays of spheres in a periodic box this functional dependence now can be used in full-scale simulations of any flow device. [Pg.157]

Derksen, J. J., Multi-scale simulations of stirred liquid-liquid dispersions . 12th European Conference on Mixing, Bologna, Italy, pp. 447-454 (2006b). [Pg.224]

Truncation does not increase number of taxon members in the sample, but it increases their base rate. Meehl suggested that having a base rate above. 10 is important for the adequate performance of MAXCOV, even when the total number of taxon members is fixed. This claim has not been thoroughly evaluated, but results of a recent large-scale simulation study by Beauchaine and Beauchaine (2002) appear to be consistent with this assertion. Beauchaine and Beauchaine found that when the taxon base rate is low, MAXCOV has... [Pg.40]

We believe that only large scale simulation studies can truly advance the discipline by helping us establish acceptable tolerance intervals. However, individual (parallel) simulations such as those just described can also be useful. These simulations can serve as suitability tests that is, they can tell the researcher whether a particular research data set can, in principle, answer the questions of interest. In other words, if taxonic and dimensional data are generated to simulate the research data and the researcher finds few differences between the simulated sets (e.g., they yielded the same number of taxonic plots), then there is little sense in analyzing the research data because it is unlikely to give a clear answer. With suitability testing, a modest simulation study (e.g., 20 taxonic and 20 continuous data sets) is preferred to individual simulations because it would yield clearer and more reliable results. [Pg.45]

Bhushan, Ed., CRC Press, Boca Raton, FL, 1999, pp. 525—597. Atomic-Scale Simulations of Tribological and Related Phenomena. [Pg.120]

Furthermore we have to prove the influence of obstacles nearby the emission source. Such obstacles will induce mechanical turbulence to the wind turbulence. In large scale simulation such effects are parameterized the turbulence influence is collected in general diffusion coefficients. In the small scale of the source vicinity this method is still questionable. [Pg.123]

Other work involving large-scale simulation of PEFCs was due to Meng and Wang and Ju and... [Pg.503]

Information gained from simulations can reveal key insights that explain gaps or contradictions in information. The time line is a useful tool in this development. For incidents of unexpected chemical reactions, it is common to attempt a lab scale simulation of the conditions involved in the exotherm or explosion. Many chemical processes can be modeled and duplicated dynamically by computer algorithms. Accelerated rate calorimeters (ARC) have proven to he highly useful tools for studying exothermic or overpressure runaway reactions. [Pg.170]


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See also in sourсe #XX -- [ Pg.102 ]




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