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Dissipative particle dynamics defined

While the evaluation of the interactions in a dense system is computationally beneficial, the underlying lattice structure requires the usage of special simulation techniques to accurately calculate the contribution of the nonbonded interactions to the pressure. These difficulties can be mitigated by using a soft, coarse-grained, off-lattice model. Since forces are well defined in off-lattice models, one can use Brownian dynamics or dissipative particle dynamics methods [97-103]. Also, simulations under constant pressure or surface tension are feasible. [Pg.225]

One important feature of MFC algorithms is that the dynamics is well-defined for an arbitrary time step. At. In contrast to methods such as molecular dynamics simulations (MD) or dissipative particle dynamics (DFD), which approximate the continuous-time dynamics of a system, the time step does not have to be small. MFC defines a discrete-time dynamics which has been shown to yield the correct longtime hydrodynamics one consequence of the discrete dynamics is that the transport coefficients depend exphdtly on At. In fact, this freedom can be used to tune the Schmidt number. Sc [15] keeping all other parameters fixed, decreasing At leads to... [Pg.4]

The cut-off radius rc t is defined arbitrarily and reveals the range of interaction between the fluid particles. DPD model with longer cut-off radius reproduces better dynamical properties of realistic fluids expressed in terms of velocity correlation function [80]. Simultaneously, for a shorter cut-off radius, the efficiency of DPD codes increases as 0(1 /t ut). which allows for more precise computation of thermodynamic properties of the particle system from statistical mechanics point of view. A strong background drawn from statistical mechanics has been provided to DPD [43,80,81] from which explicit formulas for transport coefficients in terms of the particle interactions can be derived. The kinetic theory for standard hydrodynamic behavior in the DPD model was developed by Marsh et al. [81] for the low-friction (small value of yin Equation (26.25)), low-density case and vanishing conservative interactions Fc. In this weak scattering theory, the interactions between the dissipative particles produce only small deflections. [Pg.732]

The Langevin dynamics can be applied to an individual fluctuating trajectory. The convention in the first law dW = dU + 6q is that a work applied to the system is positive as is heat transferred into the environment. For a particle in equilibrium (/= 0 and constant X), no work is applied to the system and hence an increase in internal energy, defined by the position in the potential dU = dxV)dx = —8q, must be associated with heat taken up from the reservoir. Applying work to the particle either requires a time-dependent potential V(jc,A(t)) and (or) an external force Jc,A(x)). The change in work applied to the particle becomes d W = dV/dX)dX + fdx where the first term arises from changing the potential at fixed particle position. The heat dissipated into the medium is... [Pg.671]


See other pages where Dissipative particle dynamics defined is mentioned: [Pg.39]    [Pg.331]    [Pg.322]    [Pg.698]    [Pg.2862]    [Pg.731]    [Pg.765]    [Pg.765]    [Pg.266]    [Pg.258]    [Pg.225]    [Pg.1314]    [Pg.488]    [Pg.513]   
See also in sourсe #XX -- [ Pg.134 ]




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