Machine learning approaches to the prediction of powder flow behaviour of pharmaceutical materials from physical properties (2023)
Attributed to:
Future Continuous Manufacturing and Advanced Crystallisation Research Hub
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1039/d2dd00106c
Publication URI: http://dx.doi.org/10.1039/d2dd00106c
Type: Journal Article/Review
Parent Publication: Digital Discovery
Issue: 3