Research papers
Below is a selection of EPCC’s research papers from the past two years. To explore all our papers, search the University of Edinburgh's Research Explorer.
Complex Dynamics of Multiple Tumbling Ellipsoids
Complex Dynamics of Multiple Tumbling Ellipsoids
Essmann, E., Cleeton, C., Valluri, P., Scott, D., Sawyer, M. & Govindarajan, R., Nov 2020.Research output: Contribution to conference › Abstract › peer-review
Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration
Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration
Brown, N., Roubickova, A., Lampaki, I., MacGregor, L., Ellis, M. & Vera de Newton, P., 25 Oct 2020, In: Concurrency and Computation: Practice and Experience. 32, 20, 19 p., e5655.Research output: Contribution to journal › Special issue › peer-review
Modelling the earth’s geomagnetic environment on Cray machines using PETSc and SLEPc
Modelling the earth’s geomagnetic environment on Cray machines using PETSc and SLEPc
Brown, N., Bainbridge, B., Beggan, C. D., Brown, W., Hamilton, B. & Macmillan, S., 25 Oct 2020, In: Concurrency and Computation: Practice and Experience. 32, 20, 15 p., e5660.Research output: Contribution to journal › Special issue › peer-review
Six Recommendations for Implementation of FAIR Practice: By the FAIR in practice task force of the European open science cloud FAIR working group
Six Recommendations for Implementation of FAIR Practice: By the FAIR in practice task force of the European open science cloud FAIR working group
Chue Hong, N. P., Cozzini, S., Genova, F., Hoffman-Sommer, M., Hooft, R., Lembinen, L., Marttila, J. & Teperek, M., 15 Oct 2020, Brussels: European Commission. 34 p.Research output: Book/Report › Commissioned report
Weighing up the new kid on the block: Impressions of using Vitis for HPC software development
Weighing up the new kid on the block: Impressions of using Vitis for HPC software development
Brown, N., 13 Oct 2020, 2020 30th International Conference on Field-Programmable Logic and Applications (FPL). Institute of Electrical and Electronics Engineers (IEEE), p. 335 - 340 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Cross-comparative analysis of loads and power of pitching floating offshore wind turbine rotors using frequency-domain Navier-Stokes CFD and blade element momentum theory
Cross-comparative analysis of loads and power of pitching floating offshore wind turbine rotors using frequency-domain Navier-Stokes CFD and blade element momentum theory
Ortolani, A., Persico, G., Drofelnik, J., Jackson, W. A. & Campobasso, M. S., 21 Sep 2020, In: Journal of Physics: Conference Series. 1618, 5, 11 p., 052016.Research output: Contribution to journal › Article › peer-review
DEM simulations of polydisperse media: efficient contact detection applied to investigate the quasi-static limit
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
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
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
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, , 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