Deep-learning accelerated calculation of real-fluid properties in numerical simulation of complex flowfields.
Petro Junior MilanJean-Pierre HickeyXingjian WangVigor YangPublished in: J. Comput. Phys. (2021)
Keyphrases
- numerical simulations
- deep learning
- theoretical analysis
- fluid dynamics
- navier stokes
- lattice boltzmann
- numerical calculation
- unsupervised learning
- machine learning
- deep architectures
- temperature field
- data mining
- weakly supervised
- dimensionality reduction
- computational fluid dynamics
- natural language processing
- probabilistic model
- image processing