Physics-data combined machine learning for parametric reduced-order modelling of nonlinear dynamical systems in small-data regimes (2023)
Attributed to:
deeP redUced oRder predIctive Fluid dYnamics model (PURIFY)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.cma.2022.115771
Publication URI: http://dx.doi.org/10.1016/j.cma.2022.115771
Type: Journal Article/Review
Parent Publication: Computer Methods in Applied Mechanics and Engineering