Research papers

DEM simulations of polydisperse media: efficient contact detection applied to investigate the quasi-static limit

Shire, T., Hanley, K. J. & Stratford, K., 21 Sep 2020, (E-pub ahead of print) In: Computational Particle Mechanics.

Research output: Contribution to journal › Article › peer-review

Machine Learning for Gas and Oil Exploration

Nordloh, V. A., Roubickova, A. & Brown, N., 3 Sep 2020, ECAI 2020. IOS Press, p. 3009 - 3016 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Health Outcome Prioritization in Alzheimer's Disease: Understanding the Ethical Landscape

McKeown, A., Turner, A., Angehrn, Z., Gove, D., Ly, A., Nordon, C., Nelson, M., Tochel, C., Mittelstadt, B., Keenan, A., Smith, M. & Singh, I., 21 Jul 2020, (E-pub ahead of print) In: Journal of Alzheimer's Disease.

Research output: Contribution to journal › Article › peer-review

Building digital workforce capacity and skills for data-intensive science

Barker, M., Dumolyn, B., van Nieuwerburgh, I., Castle, D., Arenas, M., Repanas, K., Casorran, C., Denos, N., Gharsallah, M., Mochmann, I. C., Yoshioka, N., Noh, S-Y., Luyben, K., Thomassen, G., McAllister, D., Ashley, K., Clarke, L., Katz, D. S., Leen, T. K., Teal, T. & 2 others, Hodson, S. & Chue Hong, N., 10 Jul 2020, Organisation for Economic Cooperation and Development (OECD). 63 p. (OECD Science, Technology and Industry Policy Papers; no. 90)

Research output: Book/Report › Commissioned report

Having your cake and eating it: Exploiting Python for programmer productivity and performance on micro-core architectures using ePython

Jamieson, M., Brown, N. & Liu, S., 10 Jul 2020, Proceedings of the 19th Python in Science Conference : SciPy 2020. Agarwal, M., Calloway, C., Niederhut, D. & Shupe, D. (eds.). Austin, Texas, p. 97 - 105 9 p. (Proceedings of the Python in Science Conferences; vol. 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

RDA COVID-19 Guidelines and Recommendations

Working Group, RDA. COVID. & Chue Hong, N. P., 30 Jun 2020, Research Data Alliance (RDA). 143 p.

Research output: Book/Report › Commissioned report

Large scale physical modeling synthesis, parallel computing, and musical experimentation: The NESS Project

Bilbao, S., Perry, J., Graham, P., Gray, A., Kavoussanakis, K., Delap, G., Mudd, T., Sassoon, G., Wishart, T. & Young, S., 29 Jun 2020, In: Computer Music Journal. 43, 2-3, p. 31-47

Research output: Contribution to journal › Article › peer-review

FAIR in practice reference list

Hooft, R., Deniz Beyan, O., Chue Hong, N. P., Cozzini, S., Hoffman-Sommer, M., Lembinen, L., Marttila, J. & Teperek, M., 18 Jun 2020

Research output: Non-textual form › Data set/Database

Critique software, but understand the constraints it’s written under: Demonising researchers who publish their code discourages openness, say Neil Chue Hong and Simon Hettrick

Chue Hong, N. & Hettrick, S., 22 May 2020, Research Professional.

Research output: Contribution to specialist publication › Editorial

PyOmeroUpload: A Python toolkit for uploading images and metadata to OMERO

Hay, J., Troup, E., Clark, I., Pietsch, J., Zielinski, T. & Millar, A. J., 18 May 2020, In: Wellcome Open Research .

Research output: Contribution to journal › Article › peer-review