Deep learning based on mixed-variable physics informed neural network for solving fluid dynamics without simulation data.
Guang-Tao ZhangChen ChengShu-dong LiuYang ChenYong-Zheng LiPublished in: CoRR (2021)
Keyphrases
- deep learning
- simulation data
- fluid dynamics
- numerical simulations
- neural network
- unsupervised learning
- unsupervised feature learning
- theoretical analysis
- machine learning
- navier stokes
- weakly supervised
- pattern recognition
- back propagation
- data sets
- deep architectures
- named entities
- learning algorithm
- computational fluid dynamics