Physics – Condensed Matter – Soft Condensed Matter
Scientific paper
2002-11-20
Physics
Condensed Matter
Soft Condensed Matter
32 pages including 12 figures
Scientific paper
We demonstrate how an iterative method for potential inversion from distribution functions developed for simple liquid systems can be generalized to polymer systems. It uses the differences in the potentials of mean force between the distribution functions generated from a guessed potential and the true (simulated) distribution functions to improve the effective potential successively. The optimization algorithm is very powerful: convergence is reached for every trial function in few iterations. As an extensive test case we coarse-grained an atomistic all-atom model of poly (isoprene) (PI) using a 13:1 reduction of the degrees of freedom. This procedure was performed for PI solutions as well as for a PI melt. Comparisons of the obtained force fields are drawn. They prove that it is not possible to use a single force field for different concentration regimes.
Mueller-Plathe Florian
Puetz Mathias
Reith Dirk
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