Prediction of High-Density Particle-Laden Channel Flows Using Artificial Neural Networks

Mortimer, L.F. and Fairweather, M. (2025) Prediction of High-Density Particle-Laden Channel Flows Using Artificial Neural Networks. In: Proceedings of 15th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements – ETMM15. 15th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements – ETMM15, 22-24 Sep 2025, Dubrovnik, Croatia. ETMM, pp. 190-195.

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Mortimer, L.F.
  • Fairweather, M.
Dates:
  • Published: 22 September 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 14:57
Last Modified: 09 Jan 2026 14:57
Published Version: https://zenodo.org/records/17280519
Status: Published
Publisher: ETMM
Identification Number: 10.5281/zenodo.17280519
Open Archives Initiative ID (OAI ID):

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