Hybrid modelling of pharmaceutical mixture properties : predictive solutions for particle size, shape, flow, and density
Salehian, Mohammad and Moores, Jonathan and Ibrahim, Isra' Tayseer Mohammad and Abbas, Faisal and Markl, Daniel (2023) Hybrid modelling of pharmaceutical mixture properties : predictive solutions for particle size, shape, flow, and density. In: 10th International Granulation Conference, 2023-06-20 - 2023-06-23.
Full text not available in this repository.Request a copyORCID iDs
Salehian, Mohammad

-
-
Item type: Conference or Workshop Item(Poster) ID code: 85953 Dates: DateEvent20 June 2023PublishedKeywords: computational modelling, artificial intelligence, model-based optimisation framework, Pharmaceutical technology, Pharmaceutical Science Subjects: Medicine > Pharmacy and materia medica > Pharmaceutical technology Department: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences Depositing user: Pure Administrator Date deposited: 27 Jun 2023 14:18 Last modified: 28 Jun 2023 02:36 URI: https://strathprints.strath.ac.uk/id/eprint/85953
CORE (COnnecting REpositories)