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Dive into the research topics where Laura Pereira-Diaz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Active
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Doctoral Training Partnership 2018-19 University of Strathclyde | Pereira-Diaz, Laura
Florence, A., Brown, C., Johnston, B. & Pereira-Diaz, L.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/19 → 1/04/23
Project: Research Studentship - Internally Allocated
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Comparative studies of powder flow predictions using milligrams of powder for identifying powder flow issues
Deng, T., Garg, V., Pereira Diaz, L., Markl, D., Brown, C., Florence, A. & Bradley, M. S. A., 25 Nov 2022, In: International Journal of Pharmaceutics. 628, 11 p., 122309.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)2 Downloads (Pure) -
Prediction of powder flow of pharmaceutical materials using machine learning
Pereira-Diaz, L., Brown, C. J. & Florence, A. J., 16 May 2022, p. 78-78. 1 p.Research output: Contribution to conference › Poster
Open AccessFile8 Downloads (Pure)
Datasets
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Data for: “Machine Learning Approach to the Prediction of Powder Flow Behaviour of Pharmaceutical Materials from Physical Properties”
Pereira-Diaz, L. (Creator), Florence, A. (Supervisor) & Brown, C. (Supervisor), University of Strathclyde, 27 Sep 2022
DOI: 10.15129/3005493b-a125-4a5d-8599-525ce952facf
Dataset
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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 Sep 2022
DOI: 10.15129/a45be5c3-4f8b-4d43-9b29-c4f4222a7716
Dataset