Simulations using Coarse-Grained Models
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Bond
Fluctuation Model
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The simulation of dense macromolecular systems is virtually impossible if
one takes into account all degrees of freedom and interactions of a chemically-realistic
chain. It is therfore imperative to reduce the complexity to make the simulation a
tractable approach. This reduction of the complexity of the model is called the coarse-graining
of the model. In the coarse-grained approach the detailed chemistry enters only in the
derivation of the potential between new interacting units. In this presentation I will
introduce two methods to reduce the computational complexity: A lattice model
and a model in continuous space will be presented. |
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The simulation of dense macromolecular systems is virtually impossible if
one takes into account all degrees of freedom and interactions of a chemically-realistic
chain. It is therfore imperative to reduce the complexity to make the simulation a
tractable approach. This reduction of the complexity of the model is called the coarse-graining
of the model. In the coarse-grained approach the detailed chemistry enters only in the
derivation of the potential between new interacting units. In this presentation I will
introduce two methods to reduce the computational complexity: A lattice model
and a model in continuous space will be presented. |
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