Hybrid modelling of pharmaceutical mixture properties: predictive solutions for particle size, shape, flow, and density

Original language	English
Publication status	Published - 20 Jun 2023
Event	10th International Granulation Conference - Sheffield, United Kingdom Duration: 20 Jun 2023 → 23 Jun 2023 https://www.sheffield.ac.uk/agglom/10th-international-granulation-workshop-2023

Conference

Conference	10th International Granulation Conference
Country/Territory	United Kingdom
City	Sheffield
Period	20/06/23 → 23/06/23
Internet address	https://www.sheffield.ac.uk/agglom/10th-international-granulation-workshop-2023

Keywords

• computational modelling
• artificial intelligence
• model-based optimisation framework

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Salehian, M., Moores, J., Ibrahim, I. T. M., Abbas, F., & Markl, D. (2023). Hybrid modelling of pharmaceutical mixture properties: predictive solutions for particle size, shape, flow, and density. Poster session presented at 10th International Granulation Conference, Sheffield, United Kingdom.

Salehian, Mohammad ; Moores, Jonathan ; Ibrahim, Isra' Tayseer Mohammad et al. / Hybrid modelling of pharmaceutical mixture properties : predictive solutions for particle size, shape, flow, and density. Poster session presented at 10th International Granulation Conference, Sheffield, United Kingdom.

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title = "Hybrid modelling of pharmaceutical mixture properties: predictive solutions for particle size, shape, flow, and density",

keywords = "computational modelling, artificial intelligence, model-based optimisation framework",

author = "Mohammad Salehian and Jonathan Moores and Ibrahim, {Isra' Tayseer Mohammad} and Faisal Abbas and Daniel Markl",

year = "2023",

month = jun,

day = "20",

language = "English",

note = "10th International Granulation Conference ; Conference date: 20-06-2023 Through 23-06-2023",

url = "https://www.sheffield.ac.uk/agglom/10th-international-granulation-workshop-2023",

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Salehian, M, Moores, J, Ibrahim, ITM, Abbas, F & Markl, D 2023, 'Hybrid modelling of pharmaceutical mixture properties: predictive solutions for particle size, shape, flow, and density', 10th International Granulation Conference, Sheffield, United Kingdom, 20/06/23 - 23/06/23.

Hybrid modelling of pharmaceutical mixture properties: predictive solutions for particle size, shape, flow, and density. / Salehian, Mohammad; Moores, Jonathan; Ibrahim, Isra' Tayseer Mohammad et al.
2023. Poster session presented at 10th International Granulation Conference, Sheffield, United Kingdom.

Research output: Contribution to conference › Poster › peer-review

TY - CONF

T1 - Hybrid modelling of pharmaceutical mixture properties

T2 - 10th International Granulation Conference

AU - Salehian, Mohammad

AU - Moores, Jonathan

AU - Ibrahim, Isra' Tayseer Mohammad

AU - Abbas, Faisal

AU - Markl, Daniel

PY - 2023/6/20

Y1 - 2023/6/20

KW - computational modelling

KW - artificial intelligence

KW - model-based optimisation framework

M3 - Poster

Y2 - 20 June 2023 through 23 June 2023

ER -

Salehian M, Moores J, Ibrahim ITM, Abbas F, Markl D. Hybrid modelling of pharmaceutical mixture properties: predictive solutions for particle size, shape, flow, and density. 2023. Poster session presented at 10th International Granulation Conference, Sheffield, United Kingdom.