In-Silico Prediction of the Physical Performance of Pharmaceutical Crystals
Access Status
Open access
Date
2021Supervisor
Andrew Rohl
Julian Gale
Victor Calo
Type
Thesis
Award
PhD
Metadata
Show full item recordFaculty
Science and Engineering
School
School of Molecular and Life Sciences
Collection
Abstract
Knowledge of the hardness of pharmaceutical crystals expedites the large-scale manufacturing of drug tablets. This research involved the development and testing of computational methods to simulate the various deformations of crystals that lead to the calculation of hardness. Both methods were applied to a range of materials and provided a consistent ranking of the slip systems with experiment, a detailed atomistic description of the deformation mechanisms, and the calculation of ideal shear strength.