Description
Observed induction times, calculated induction time distribution parameters, calculated hydrodynamic features and machine learning model performance metrics.
| Date made available | 10 Jan 2023 |
|---|---|
| Publisher | University of Strathclyde |
Research output
- 1 Article
-
Machine learning derived correlations for scale-up and technology transfer of primary nucleation kinetics
Yerdelen, S., Yang, Y., Quon, J. L., Papageorgiou, C. D., Mitchell, C., Houson, I., Sefcik, J., ter Horst, J. H., Florence, A. J. & Brown, C. J., 1 Feb 2023, In: Crystal Growth and Design. 23, 2, p. 681-693 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Link opens in a new tab Citations (Scopus)52 Downloads (Pure)
Projects
- 2 Finished
-
Takeda 2017/18 Proprietary Project
Florence, A. (Principal Investigator)
Takeda Pharmaceutical Company Ltd
1/10/18 → 30/09/20
Project: Research
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Future Continuous Manufacturing and Advanced Crystallisation Research Hub (CMAC Hub)
Florence, A. (Principal Investigator), Brown, C. (Co-investigator), Halbert, G. (Co-investigator), Johnston, B. (Co-investigator), Markl, D. (Co-investigator), Nordon, A. (Co-investigator), Price, C. J. (Co-investigator), Sefcik, J. (Co-investigator) & Ter Horst, J. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/01/17 → 30/09/24
Project: Research
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