Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP0986999
Funding Status
Closed
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Funded Activity Summary
Learning to predict polymorphism through simulation of nucleation and nanoparticle evolution. Many substances are capable of exhibiting a myriad of different structures despite having the same composition. This behaviour can have a significant impact on the production of new pharmaceuticals, since the sudden appearance of a new form can lead to instant withdrawal of the drug. By understanding how different forms grow, rather than focusing on just the stability of the product, this research will lead to more reliable prediction of how pharmaceutical molecules might assemble. The same technology will potentially have impacts in many areas of nanoscience through improvements in efficiency, including the production of minerals, desalination and undersea gas recovery.Funded Activity Details
Start Date: 2009
End Date: 12-2013
Funding Scheme: Discovery Projects
Funding Amount: $907,160.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Theoretical And Computational Chemistry Not Elsewhere Classified | Mineralogy And Crystallography | Theoretical and Computational Chemistry | Statistical Mechanics
ANZSRC Socio-Economic Objective (SEO)
Treatments (e.g. chemicals, antibiotics) | Earth sciences | Physical sciences |
