Mortimer, L.F. and Fairweather, M. (2025) Predictions of Particle Trajectory Response to Reynolds Number in Turbulent Channel Flows Using Artificial Neural Networks. In: Vad, J., (ed.) Conference Proceedings of CMFF'25. Conference on Modelling Fluid Flow (CMFF’25) The 19th International Conference on Fluid Flow Technologies, 26-29 Aug 2025, Budapest, Hungary. Budapest University of Technology and Economics, Budapest, Hungary. ISBN: 978-615-112-002-6.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Keywords: | machine learning, artificial neural networks, direct numerical simulation, Lagrangian particle tracking, turbulent particle laden channel flows, Reynolds number |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
| Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/S01019X/1 |
| Date Deposited: | 09 Jan 2026 16:19 |
| Last Modified: | 12 Jan 2026 09:32 |
| Published Version: | https://www.cmff.hu/?page=program |
| Status: | Published |
| Publisher: | Budapest University of Technology and Economics |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:235979 |
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