Hierarchical Strategy for Simple One-Component Polymer Melts: fixed-local-tuple¶
Reference  describes the principles of a hierarchical strategy to equilibrate simple one-component polymer melts described in terms of atomistic or coarse-grained (bead-spring) models. The present module is part of our implementation of this method in ESPResSO++.
To study the properties of polymer melts by numerical simulations, equilibrated configurations must be prepared. However, the relaxation time for high molecular weight polymer melts is huge and increases, according to reptation theory, with the third power of the molecular weight. Hence, an effective method for decreasing the equilibration time is required. The hierarchical strategy pioneered in Ref.  is a particularly suitable way to do this. The present module is part of a suite of programs which realize this method within the framework of the simulation package ESPResSO++.
To decrease the relaxation time, microscopic monomers are coarse-grained (CG) by mapping each subchain with monomers onto a soft blob. The CG system is then characterized by a much lower molecular weight and thus is equilibrated quickly. One thus obtains a configuration that is equilibrated on large scales but does not provide information about the structure on smaller (i.e. more fine-grained (FG)) scales.
To obtain the latter, the resolution is step-by-step increased by recursively applying a fine-graining procedure to the previous (more coarse-grained) level. In such a fine-graining step, each CG polymer chain is replaced with a more fine-grained chain, by dividing a CG blob into several FG blobs. In the last step, microscopic monomers are reinserted into their CG blobs.
The resulting set of FG blobs is set up in such a way that its conformation is consistent with the conformation at the more coarse-grained level. After this setup, the local FG conformation is relaxed into a local equilibrium, again consistent with the (fixed) CG blobs.
This procedure needs a data structure where tuples of particles are stored in lists. In contrast to simple Molecular Dynamics, which is based only on pairs of particles, we here need to allow tuples of arbitrary size. The present module provides this more general data structure. The list can contain both real and ghost particles.
The implementation of this module is based on ESPResSO++. You can learn about ESPResSO++ from the following links:
Explanation of installation:
After installing this module, it can be tested by a Python script found under the following link:
This module has been merged into ESPResSo++: