We present a reduced-dimension, ballistic deposition, Monte Carlo particlepacking algorithm and discuss its application to the analysis of themicrostructure of hard-sphere systems with broad particle size distributions.We extend our earlier approach (the ``central string'' algorithm) to areduced-dimension, quasi-3D approach. Our results for monomodal hard-spherepacks exhibit a calculated packing fraction that is slightly less than thegenerally accepted value for a maximally random jammed state. The pairdistribution functions obtained from simulations of composite structures withlarge particle size differences demonstrate that the algorithm providesinformation heretofore not attainable with existing simulation methods, andyields detailed understanding of the microstructure of these composite systems.
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