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Lattice Polymer Automata

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  • Steen Rasmussen
  • Joshua R. Smith

Abstract

We present a new style of molecular dynamics and self-assembly simulation, the Lattice Polymer Automaton (LPA). In the LPA all interactions, including electromagnetic forces, are decomposed and communicated via propagating particles, ``photons.'' The monomer-monomer bond forces, the molecular excluded volume forces, the longer range intermolecular forces, and the polymer-solvent interactions may all be modeled with propagating particles. The LPA approach differs significantly from both of the standard approaches, Monte Carlo lattice methods and Molecular Dynamics simulations. On the one hand, the LPA provides more realism than Monte Carlo methods, because it produces a time series of configurations of a single molecule, rather than a set of causally unrelated samples from a distribution of configurations. The LPA can therefore be used directly to study dynamical properties: one can in fact watch polymers move in real time. On the other hand, the LPA is fully discrete, and therefore much simpler than traditional Molecular Dynamics models, which are continuous and operate on much shorter time scales. Due to this simplicity it is possible to simulate longer real time periods, which should enable the study of molecular self-organization on workstations; supercomputers are not needed.

Suggested Citation

  • Steen Rasmussen & Joshua R. Smith, 1994. "Lattice Polymer Automata," Working Papers 94-09-048, Santa Fe Institute.
  • Handle: RePEc:wop:safiwp:94-09-048
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    Cited by:

    1. Steen Rasmussen & Christopher L. Barrett, 1995. "Elements of a Theory of Simulation," Working Papers 95-04-040, Santa Fe Institute.
    2. Bernd Mayer & Steen Rasmussen, 1998. "Self-Reproduction of Dynamical Hierarchies in Chemical Systems," Working Papers 98-05-038, Santa Fe Institute.

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