(335i) Consideration Of The Entropy In The Prediction Of Stable Crystalline Polymorphs

Authors: 
Kofke, D. A., University of Buffalo
Schultz, A., University at Buffalo, The State University of New York
Cribbin, N., University at Buffalo, The State University of New York
Tan, T. B., University at Buffalo, The State University of New York


In order to predict the form of a stable crystalline polymorph, one compares the free energy of each form, and selects the one with the lowest free energy. Although this ignores kinetic influences in crystallization, this procedure provides important information for polymorph prediction. However, current methods usually take only the energetic contribution to the free energy into account, and ignore the entropic contribution. This is done because calculating the entropy is difficult to do rigorously. Approximations using lattice dynamics are sometimes applied but the accuracy of these approaches is uncertain. In many cases the difference between the energies of the most stable polymorphs is small, and it is possible that entropic contributions are relevant.

Calculation of a true free energy is performed by computing the difference with respect to a known reference. For this work, we use a harmonic reference system with spring constants given to match configurational correlations measured in the target system. We consider two approaches to compute the free energy difference between the target and reference systems. Direct perturbation is not effective, so we examine the performance of overlap sampling approaches, and Bennett's method in particular. Second, we examine the accuracy of the Normal Mode Monte Carlo (NMMC) method, which, is an approximate treatment that assumes that normal mode coordinates are independent not only in the harmonic system, but also in the reference. This technique provides much better sampling accuracy than direct or staged-perturbation methods, but the approximations inherent in its formulation have not been well tested. We study these approaches as applied to model molecular crystals for which the free energy has been determined by more computationally demanding methods.