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Systematic Timescale Bridging Algorithm

For simplicity and speed of calculations, the classical FENE bead-spring model introduced in Ref. [60] was used in these studies, although using an atomistic model does not pose any extra difHculty. [Pg.370]

2) Use a Monte Carlo scheme in order to generate an ensemble of (typically [Pg.370]

4) From the particle trajectories zjt(f), we evaluate the friction matrix M from Eq. (7.10). We make use of time-translational invariance to equivalently rewrite Eq. (7.10) as [Pg.370]

5) Updated values of the Lagrange multiplier X are calculated from the stationary GENERIC equation(7.23) by inverting the symmetric, positive semidefinite matrix M. [Pg.370]

6) The procedure is now repeated until consistent values x, M, X for given x are obtained. Alternatively, one may use an efficient reweighting scheme if x is changed only slightly and X is already close to the true value X X + bX. Then, the [Pg.370]


Figure 7.8 Schematic illustration of systematic timescale bridging algorithm that consistently combines Monte Carlo and molecular dynamics simulations. Figure 7.8 Schematic illustration of systematic timescale bridging algorithm that consistently combines Monte Carlo and molecular dynamics simulations.

See other pages where Systematic Timescale Bridging Algorithm is mentioned: [Pg.369]    [Pg.369]   


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