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Cellular Automaton Simulation of Polymers

Published online by Cambridge University Press:  25 February 2011

M. A. Smith ,
Y. Bar-Yam ,
Y. Rabin ,
N. Margolus ,
T. Toffoli  and
C. H. Bennett
M. A. Smith
Affiliation:
MIT Laboratory for Computer Science, Cambridge, MA 02139
Y. Bar-Yam
Affiliation:
ECS, 44 Cummington St., Boston University, Boston MA 02215
Y. Rabin
Affiliation:
Department of Physics, Bar-Ilan University, Ramat-Gan 52900, Israel
N. Margolus
Affiliation:
MIT Laboratory for Computer Science, Cambridge, MA 02139
T. Toffoli
Affiliation:
MIT Laboratory for Computer Science, Cambridge, MA 02139
C. H. Bennett
Affiliation:
IBM T. J. Watson Res. Ctr., Yorktown Heights, NY 11973
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Abstract

In order to improve our ability to simulate the complex behavior of polymers, we introduce dynamical models in the class of Cellular Automata (CA). Space partitioning methods enable us to overcome fundamental obstacles to large scale simulation of connected chains with excluded volume by parallel processing computers. A highly efficient, two-space algorithm is devised and tested on both Cellular Automata Machines (CAMs) and serial computers. Preliminary results on the static and dynamic properties of polymers in two dimensions are reported.

Information

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 248: Symposium O – Complex Fluids , 1991 , 483
Copyright
Copyright © Materials Research Society 1992

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References

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