Abstract
A new methodology for the prediction of molecular crystal structures using only the atomic connectivity of the molecule under consideration is presented. The approach is based on the global minimization of the lattice enthalpy of the crystal. The modeling of the electrostatic interactions is accomplished through a set of distributed charges that are optimally and automatically selected and positioned based on results of quantum mechanical calculations. A four‐step global optimization algorithm is used for the identification of the local minima of the lattice enthalpy surface. A parallelized implementation of the algorithm permits a much more extensive search of the solution space than has hitherto been possible, allowing the identification of crystal structures in less frequently occurring space groups and with more than one molecule in the asymmetric unit. The algorithm has been applied successfully to the prediction of the crystal structures of 3‐aza‐bicyclo(3.3.1)nonane‐2,4‐dione (P2~1~/a, Z′ = 1), allopurinol (P2~1~/c, Z′ = 1), 1,3,4,6,7,9‐hexa‐azacycl(3.3.3)azine (Pbca, Z′ = 2), and triethylenediamine (P6~3~/m, Z′ = 1). In all cases, the experimentally known structure is among the most stable predicted structures, but not necessarily the global minimum. © 2004 Wiley Periodicals, Inc. J Comput Chem 26: 304–324, 2005