On the improvement of the extrapolation capability of an iterative machine-learning based RANS Framework (2023)
Attributed to:
Nano-Engineered Flow Technologies: Simulation for Design across Scale and Phase
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.compfluid.2023.105864
Publication URI: http://dx.doi.org/10.1016/j.compfluid.2023.105864
Type: Journal Article/Review
Parent Publication: Computers & Fluids
ISSN: 0045-7930