Predictions of Particle Trajectory Response to Reynolds Number in Turbulent Channel Flows Using Artificial Neural Networks

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
Authors/Creators:
  • Mortimer, L.F.
  • Fairweather, M.
Editors:
  • Vad, J.
Keywords: machine learning, artificial neural networks, direct numerical simulation, Lagrangian particle tracking, turbulent particle laden channel flows, Reynolds number
Dates:
  • Published: 26 August 2025
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):

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