Learning Subgrid-Scale Models in Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier-Stokes Equations.
Shinhoo KangEmil M. ConstantinescuPublished in: CoRR (2023)
Keyphrases
- ordinary differential equations
- statistical models
- mathematical models
- differential equations
- learning algorithm
- partial differential equations
- neural network
- experimental data
- reinforcement learning
- mathematical model
- software engineering
- wavelet transform
- image denoising
- probabilistic model
- data analysis
- numerical methods
- data sets
- mathematical modeling