A strategy to study polymeric systems with ordered structures, and in parti
cular comb-like polymers, is presented. These are dense systems for which a
tomistic simulations with conventional methods are difficult or even imprac
ticable. The strategy, which has been incorporated into a computer program
named MCDP, is based on a Configuration Bias Monte Carlo algorithm and a me
thod to investigate the structure of crystalline polymers using force-field
calculations. To obtain a maximum efficiency, the MCDP computer program ha
s been optimized and parallelized. The ability of MCDP to investigate order
ed polymers have been tested by simulating two complex systems: (1) the cry
stal structure of poly(4-methyl-1-pentene), and (2) the biphasic structure
of poly(alpha -octyl-beta -L-aspartate), a comb-like polyamide derived from
beta -amino acids. The results obtained from MCDP simulations demonstrates
the efficiency and reliability of this method to study both the NVT and NP
T behavior of ordered dense polymers. (C) 2000 John Wiley & Sons, Inc.