Sign In
insight - Nonlinear Model Reduction in Physics-Informed Neural Networks
Nonlinear Model Reduction with TGPT-PINN
The author introduces the TGPT-PINN for nonlinear model order reduction in transport-dominated partial differential equations, overcoming limitations of linear reduction. The approach integrates a transform layer and pre-trained networks to achieve efficient model reduction.
TGPT-PINN: Nonlinear Model Reduction with Transformed GPT-PINNs
TGPT-PINN introduces a novel paradigm for nonlinear model reduction, overcoming limitations of linear reduction in transport-dominated problems.