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Discrete-particles, algorithmic methods particle dynamics

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]


See other pages where Discrete-particles, algorithmic methods particle dynamics is mentioned: [Pg.205]    [Pg.722]    [Pg.924]    [Pg.133]    [Pg.390]    [Pg.328]    [Pg.248]    [Pg.256]    [Pg.288]   
See also in sourсe #XX -- [ Pg.738 , Pg.739 ]




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