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Open Access research that is solving urban design problems...

The Department of Architecture reflects the multi and trans-disciplinary nature of architecture and urbanism, focussing on real-world problems. This includes the work of the Urban Design Studies Unit (UDSU), which is pioneering 'urban morphometrics', harnessing spatial data science, urban geo-data processing, and machine learning approaches to better understand cities, their form, functions and impact, with the ultimate goal of making them more resilient.

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Number of items: 7.

Article

Soundaranathan, Mithushan and Al-Sharabi, Mohammed and Sweijen, Thomas and Bawuah, Prince and Zeitler, J. Axel and Hassanizadeh, S. Majid and Pitt, Kendal and Johnston, Blair F. and Markl, Daniel (2023) Modelling the evolution of pore structure during the disintegration of pharmaceutical tablets. Pharmaceutics, 15 (2). 489. ISSN 1999-4923

Vassileiou, Antony D. and Robertson, Murray N. and Wareham, Bruce G. and Soundaranathan, Mithushan and Ottoboni, Sara and Florence, Alastair J. and Hartwig, Thoralf and Johnston, Blair F. (2023) A unified ML framework for solubility prediction across organic solvents. Digital Discovery. ISSN 2635-098X

Maclean, Natalie and Walsh, Erin and Soundaranathan, Mithushan and Khadra, Ibrahim and Mann, James and Williams, Helen and Markl, Daniel (2021) Exploring the performance-controlling tablet disintegration mechanisms for direct compression formulations. International Journal of Pharmaceutics, 599. 120221. ISSN 0378-5173

Soundaranathan, Mithushan and Vivattanaseth, Pattavet and Walsh, Erin and Pitt, Kendal and Johnston, Blair and Markl, Daniel (2020) Quantification of swelling characteristics of pharmaceutical particles. International Journal of Pharmaceutics, 590. 119903. ISSN 0378-5173

Alshafiee, Maen and AlAlaween, Wafa' H. and Markl, Daniel and Soundaranathan, Mithushan and Almajaan, Ammar and Walton, Karl and Blunt, Liam and Asare-Addo, Kofi (2019) A predictive integrated framework based on the radial basis function for the modelling of the flow of pharmaceutical powders. International Journal of Pharmaceutics, 568. 118542. ISSN 0378-5173

Conference or Workshop Item

Soundaranathan, Mithushan and Al-Sharabi, Mohammed and Sweijen, Thomas and Pitt, Kendal and Zeitler, J. Axel and Hassanizadeh, S Majid and Johnston, Blair and Markl, Daniel (2022) Modelling the swelling of pharmaceutical tablets from single particle understanding using DEM. In: CMAC Annual Open Day 2022, 2022-05-16 - 2022-05-18.

Vassileiou, Antony D. and Robertson, Murray N. and Wareham, Bruce G. and Soundaranathan, Mithushan and Ottoboni, Sara and Florence, Alastair J. and Hartwig, Thoralf and Johnston, Blair F. (2022) A unified AI framework for solubility prediction across organic solvents. In: CMAC Annual Open Day 2022, 2022-05-16 - 2022-05-18.

This list was generated on Fri Mar 24 02:15:53 2023 GMT.