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Particle dynamics models, dissipative

Boryczko K, Dzwinel W, Yuen D (2000) Mixing and droplets coalescenee in immiscible fluid 3-D dissipative particle dynamics model, UMSl 2000/142. Minneapolis University of Minnesota Supercomputing Institute... [Pg.213]

Universality vs Specificity in Dissipative Particle Dynamics Models. 212... [Pg.198]

Tiwari A, Abraham J (2006) Dissipative-particle-dynamics model for two-phase flows. Phys Rev E 74 056701... [Pg.621]

Finally, an alternative level of coarse-graining involves the use of DPD (dissipative particle dynamics) models [35]. These have been used successfully in simulations of microphase separation for block copolymers [36, 37] and in a number of other areas [38, 39]. [Pg.63]

Tiwari A (2006) Dissipative Particle Dynamics Model for Two-Phase Flows. Ph.D. Thesis, Purdue University, West Lafayette, IN... [Pg.390]

Finally, it should be mentioned that a combination of COSMO-RS with tools such as MESODYN [127] or DPD [128] (dissipative particle dynamics) may lead to further progress in the area of the mesoscale modeling of inhomogeneous systems. Such tools are used in academia and industry in order to explore the complexity of the phase behavior of surfactant systems and amphiphilic block-co-polymers. In their coarse-grained 3D description of the long-chain molecules the tools require a thermodynamic kernel... [Pg.164]

During the past few decades, various theoretical models have been developed to explain the physical properties and to find key parameters for the prediction of the system behaviors. Recent technological trends focus toward integration of subsystem models in various scales, which entails examining the nanophysical properties, subsystem size, and scale-specified numerical analysis methods on system level performance. Multi-scale modeling components including quantum mechanical (i.e., density functional theory (DFT) and ab initio simulation), atom-istic/molecular (i.e., Monte Carlo (MC) and molecular dynamics (MD)), mesoscopic (i.e., dissipative particle dynamics (DPD) and lattice Boltzmann method (LBM)), and macroscopic (i.e., LBM, computational... [Pg.74]

When the gas-solid flow in a multiphase system is dominated by the interparticle collisions, the stresses and other dynamic properties of the solid phase can be postulated to be analogous to those of gas molecules. Thus, the kinetic theory of gases is adopted in the modeling of dense gas-solid flows. In this model, it is assumed that collision among particles is the only mechanism for the transport of mass, momentum, and energy of the particles. The energy dissipation due to inelastic collisions is included in the model despite the elastic collision condition dictated by the theory. [Pg.166]

Dissipative particle dynamics or Lattice Boltzman methods also may be used here. Inside the small spheres are reactive water molecules modeled using tight-binding (TB) approaches. TB is also used to treat reactive surface functional groups. [Pg.202]

MD (molecular dynamics), DPD (dissipative particle dynamics), FPM (fluid particle model). [Pg.205]

Coarse-graining dissipative particle dynamics fluid particle model... [Pg.208]

Dzwinel W, Yuen DA (2001) Mixing driven by Rayleigh-Taylor instability in the mesoscale modeled with dissipative particle dynamics. Int l J Modem Phys C 12 91-118. [Pg.214]

The molecular dynamics methods that we have discussed in this chapter, and the examples that have been used to illustrate them, fall into the category of atomistic simulations, in that all of the actual atoms (or at least the non-hydrogen atoms) in the core system are represented explicitly. Atomistic simulations can provide very detailed information about the behaviour of the system, but as we have discussed this typically limits a simulation to the nanosecond timescale. Many processes of interest occur over a longer timescale. In the case of processes which occur on a macroscopic timescale (i.e. of the order of seconds) then rather simple models may often be applicable. Between these two extremes are phenomena that occur on an intermediate scale (of the order of microseconds). This is the realm of the mesoscale Dissipative particle dynamics (DPD) is particularly useful in this region, examples include complex fluids such as surfactants and polymer melts. [Pg.402]

The imderlying model in dissipative particle dynamics is usually developed in such a way that the mass, length and timescales are all unity. This is similar to the use of reduced units for the Lennard-Jones potential (Section 4.10.5). A particular advantage of such an approach is that a single simulation may often be able to explain the behaviour of many different systems. With a mass of 1 the force acting on a particle is equal to its acceleration. In DPD there are three forces on each bead [Groot and Warren 1997] ... [Pg.402]


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See also in sourсe #XX -- [ Pg.210 ]




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