Coarse Grained Computations for a Micellar System

Physics – Condensed Matter – Soft Condensed Matter

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

10.1063/1.1839173

We establish, through coarse-grained computation, a connection between traditional, continuum numerical algorithms (initial value problems as well as fixed point algorithms) and atomistic simulations of the Larson model of micelle formation. The procedure hinges on the (expected) evolution of a few slow, coarse-grained mesoscopic observables of the MC simulation, and on (computational) time scale separation between these and the remaining "slaved", fast variables. Short bursts of appropriately initialized atomistic simulation are used to estimate the (coarse-grained, deterministic) local dynamics of the evolution of the observables. These estimates are then in turn used to accelerate the evolution to computational stationarity through traditional continuum algorithms (forward Euler integration, Newton-Raphson fixed point computation). This "equation-free" framework, bypassing the derivation of explicit, closed equations for the observables (e.g. equations of state) may provide a computational bridge between direct atomistic / stochastic simulation and the analysis of its macroscopic, system-level consequences.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Coarse Grained Computations for a Micellar System does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Coarse Grained Computations for a Micellar System, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Coarse Grained Computations for a Micellar System will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-725792

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.