Publication on polymer network SCFT

At the end of last year, Nick Tito, Kees Storm and myself published a paper in Macromolecules in which we propose a numerical approach to analyze the statistical mechanics of polymer networks. Starting from just the topology, specifying which nodes are connected by a polymer strand, without assuming anything about the geometry, the method converges onto the full probability density for the positions of the nodes, and provides a good estimate of the free energy of the network as a function of deformation parameters.

See the paper in Macromolecules here.

From topology (left) to node position probabilities (right).

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