TY  - JOUR 
AU  - Abadía-Heredia, R.
AU  - Lopez-Martin, Manuel
AU  - Carro, Belen
AU  - Arribas, Juan Ignacio
AU  - Pérez Pérez, José Miguel
AU  - Le Clainche, S.
PY  - 2022
SN  - 0957-4174
UR  - http://hdl.handle.net/10366/154671
AB  - Solving computational fluid dynamics problems requires using large computational resources. The computational time and memory requirements to solve realistic problems vary from a few hours to several weeks with several processors working in parallel....
LA  - eng
KW  - Reduced order models
KW  - Deep learning architectures
KW  - POD
KW  - Modal decompositions
KW  - Neural networks
KW  - Fluid dynamics
TI  - A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures
DO  - 10.1016/j.eswa.2021.115910
T2  - Expert Systems with Applications
VL  - 187
M2  - 115910
ER  -