Projects per year
Personal profile
Education/Academic qualification
Doctor of Philosophy, The flare necessities: machine learning tools for solar flare data analysis, University of Glasgow
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Dive into the research topics where John Armstrong is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 1 Finished
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From Pixels to Particles: A Computational Toolbox for Predicting Pharmaceutical Powder Characteristics
Salehian, M. (Principal Investigator), Armstrong, J. (Principal Investigator) & Boyle, C. (Principal Investigator)
1/09/23 → 1/09/24
Project: Internally funded project
Research output
- 2 Article
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Flexible modelling of the dissolution performance of directly compressed tablets
Maclean, N., Armstrong, J. A., Carroll, M. A., Salehian, M., Mann, J., Reynolds, G., Johnston, B. & Markl, D., 10 May 2024, In: International Journal of Pharmaceutics. 656, 10 p., 124084.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Citations (Scopus)120 Downloads (Pure) -
Predicting pharmaceutical powder flow from microscopy images using deep learning
Wilkinson, M. R., Pereira Diaz, L., Vassileiou, A. D., Armstrong, J. A., Brown, C. J., Castro-Dominguez, B. & Florence, A. J., 1 Apr 2023, In: Digital Discovery. 2, 2, p. 459-470 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Citations (Scopus)59 Downloads (Pure)
Datasets
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Data for: "Deep Learning approaches for the prediction of powder flow of pharmaceutical materials"
Pereira-Diaz, L. (Creator), Brown, C. (Supervisor), Florence, A. (Supervisor), Vassileiou, A. (Contributor) & Armstrong, J. (Contributor), University of Strathclyde, 27 Sept 2022
DOI: 10.15129/a45be5c3-4f8b-4d43-9b29-c4f4222a7716
Dataset
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Data for: "Flexible Modelling of the Dissolution Performance of Directly Compressed Tablets"
Maclean, N. (Creator), Armstrong, J. (Creator), Carroll, M. (Contributor), Salehian, M. (Contributor), Mann, J. (Contributor), Reynolds, G. (Contributor), Johnston, B. (Supervisor) & Markl, D. (Supervisor), University of Strathclyde, 5 Apr 2024
DOI: 10.15129/0de30626-a898-42a5-9548-342a748062bc
Dataset