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Global Minimization of Lennard-Jones Functions on Transputer Networks

  • Klaus Ritter
  • Stephen M. Robinson
  • Stefan Schäffler
Chapter
  • 220 Downloads
Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 94)

Abstract

This paper presents a three-phase computational procedure for minimizing molecular energy potential functions of the pure Lennard-Jones type. The first phase consists of a special heuristic for generating an initial atomic configuration. In the second phase a global minimization method is applied to compute a configuration close to the optimal solution. Finally, the third phase uses this configuration as the starting point for a local minimization method. Since the second and third phases are very suitable for parallel implementation, we describe briefly our implementation of the method in a parallel version of C on a transputer network, and we exhibit numerical results for approximate optimization of clusters with up to 20,000 atoms.

Key words

global optimization Lennard-Jones potential transputer networks parallel computing 

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Klaus Ritter
    • 1
  • Stephen M. Robinson
    • 2
  • Stefan Schäffler
    • 1
  1. 1.Fakultät für MathematikTechnische Universität MünchenMünchenGermany
  2. 2.Department of Industrial EngineeringUniversity of Wisconsin-MadisonMadisonUSA

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