An approach to ab initio crystal structure prediction by packing optim
ization is developed for organic nitramines, an important class of ene
rgetic materials. The principal features of the search method are: use
of statistical data on the organic crystal structural classes to sele
ct typical space groups and site symmetries for further search; accoun
ting for the energy-hypersurface symmetry to determine the unique sear
ch region; and use of an automated similarity-search procedure to reco
gnize non-unique minima and determine the symmetry of optimized packin
gs. The wide convergence properties of the local search procedure perm
it one to start optimization from an arbitrary point, so that no preli
minary screening of the starting models is necessary. The numerical ca
lculations were first carried out on the known crystal structures of t
hree polymorphs of HMX (1,3,5,7-tetranitro-1,3,5,7-tetraazacyclooctane
). In this step, the force-held parameters for the nitramine fragment
have been improved to obtain the best correspondence between the predi
cted and observed molecular geometries. The predicted packings were fo
und to be in reasonably good agreement with the X-ray structural data,
while the computed lattice energies were not accurate enough to predi
ct the observed heats of sublimation and the trend of polymorph stabil
ities. Secondly, the method was employed to predict the possible cryst
al structures of eight isomeric azanitroadamantanes and wurtzitanes, w
hose molecular structures were proposed earlier on the basis of a comp
utational study (T.S. Pivina et al., Propellants, Explosives, Pyrotech
nics, 20 (1995) 91). As a result, the energy-minimized structures with
densities up to 2.08 and 2.04 g cm(-3) have been predicted for the ad
amantane and wurtzitane series, respectively, as the possible crystal
polymorphs. Due to the interaction between the conformational and pack
ing forces giving rise to some gain in the total energy at the expense
of at least partial loss in molecular symmetry, the predicted densiti
es are expected to be lower estimates than the actual ones.