A data-driven adversarial machine learning for 3D surrogates of unstructured computational fluid dynamic simulations (2023)
Attributed to:
PREdictive Modelling with QuantIfication of UncERtainty for MultiphasE Systems (PREMIERE)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.physa.2023.128564
Publication URI: http://dx.doi.org/10.1016/j.physa.2023.128564
Type: Journal Article/Review
Parent Publication: Physica A: Statistical Mechanics and its Applications
ISSN: 03784371