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In an industrial crystallization process, crystal shape strongly influences end-product quality and functionality, as well as downstream processing. In addition, nucleation events, solvent effects, and polymorph selection play critical roles in both the design and operation of a crystallization plant and the patentability of the product and process. Therefore, investigation of these issues, with respect to a priori prediction, is (and will continue to be) an important avenue of research. In this review, we discuss the state-of-the-art in modeling crystallization processes over a range of length scales relevant to nucleation through process design. We also identify opportunities for continued research and specific areas where significant advancements are needed.
Lovette et al. (Thu,) studied this question.