Reduced order modeling for parameterized time-dependent PDEs using spatially and memory aware deep learning

Keyphrases

• Deep Learning 100%
• Memory-based 100%
• Reduced Order Modeling 100%
• Reduced Order Model 100%
• Time-dependent PDEs 100%
• Spatially Distributed 33%
• Degrees of Freedom 33%
• Neural Network 33%
• Networking Strategies 33%
• Stage-based 33%
• Long Short-term Memory Neural Network 33%
• Advection Equation 33%
• Modern Learning 33%
• Convolutional Autoencoder 33%
• Non-intrusive 33%
• Convolutional 33%
• Incompressible NavierStokes Equations 33%
• Nonlinear Dimensionality Reduction 33%
• Multi-query 33%
• Flow Past a Cylinder 33%

Engineering

• Reduced Order Model 100%
• Deep Learning Method 100%
• Partial Differential Equation 100%
• Degree of Freedom 33%
• Dimensionality 33%
• Autoencoder 33%
• Long Short-Term Memory 33%
• Advection 33%

Mathematics

• PDE 100%
• Neural Network 100%
• Deep Learning Method 100%
• Dimensionality Reduction 50%
• Time Step 50%
• Degree of Freedom 50%