Browse by Author or creator

2027

Almudahka, Anas and Pantaleev, Stefan and Salehian, Mohammad and Armstrong, John and Johnston, Blair F. and Markl, Daniel (2027) Efficient DEM modelling of direct shear test with a representative volume element : balancing fidelity and performance across boundary conditions, particle shape, and size distribution. Powder Technology, 486 (Part 1). 123171. ISSN 0032-5910

2026

Armstrong, John and MacLean, Natalie and Markl, Daniel and Johnston, Blair (2026) The effect of API on the disintegration of tablets. In: 10th World Congress on Particle Technology, 2026-05-11 - 2026-05-15.

Gahler, Daniel and Abbas, Faisal and Armstrong, John and Salehian, Mohammad and Ma, Mingrui and Soltani, Pooria and Markl, Daniel (2026) From High-Level Orchestration to Closed-Loop Execution : Autonomous Tableting and Dissolution. In: CMAC Open Days 2026, 2026-03-24 - 2026-03-26, Technology and Innovation Centre.

Armstrong, John and Boyle, Christopher and Naz, Tabbasum and Robertson, Murray and Jolliffe, Hikaru Graeme and Gahler, Daniel and Soltani, Pooria and Abbas, Faisal and Salehian, Mohammad and Pickles, Thomas and Fleming, Megan and Booth, David and Goldie, Jonathan and McGlone, Thomas and Prostredny, Martin and Johnston, Blair and Florence, Alastair (2026) From synthesis to product : data traceability in CMAC's data fabric. In: CMAC Open Days 2026, 2026-03-24 - 2026-03-26, Technology and Innovation Centre.

Gahler, Daniel and Soltani, Pooria and Abbas, Faisal and Armstrong, John and Salehian, Mohammad and Ma, Mingrui and Markl, Daniel (2026) Orchestrator for Inter- and Intra-Lab Scheduling of High-level Workflows and Experiments. In: CMAC Open Days 2026, 2026-03-24 - 2026-03-26, Technology and Innovation Centre.

2024

Maclean, Natalie and Armstrong, John A. and Carroll, Mark A. and Salehian, Mohammad and Mann, James and Reynolds, Gavin and Johnston, Blair and Markl, Daniel (2024) Flexible modelling of the dissolution performance of directly compressed tablets. International Journal of Pharmaceutics, 656. 124084. ISSN 1873-3476

2023

Wilkinson, Matthew R. and Pereira Diaz, Laura and Vassileiou, Antony D. and Armstrong, John A. and Brown, Cameron J. and Castro-Dominguez, Bernardo and Florence, Alastair J. (2023) Predicting pharmaceutical powder flow from microscopy images using deep learning. Digital Discovery, 2 (2). pp. 459-470. ISSN 2635-098X

2019

Armstrong, John A. and Fletcher, Lyndsay (2019) Fast solar image classification using deep learning and its importance for automation in solar physics. Solar Physics, 294. 80. ISSN 0038-0938

Osborne, Christopher M. J. and Armstrong, John and Fletcher, Lyndsay (2019) RADYNVERSION : Learning to invert a solar flare atmosphere with invertible neutral networks. The Astrophysical Journal, 873. 128. ISSN 1538-4357