one-dimensional Burgers equation

The one-dimensional Burgers equation is a parametric partial differential equation used to evaluate the performance of models in solving forward prediction and inverse identification problems, particularly in the context of noisy data regimes.

Papers using one-dimensional Burgers equation (3)

Morephy-Net: An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Neural Operator Learning Networks2025 · 2 citesRandomness and signal propagation in physics-informed neural networks (PINNs): A neural PDE perspective2025 · 1 citesReduced-order modeling for parameterized PDEs via implicit neural representations2023 · 2 cites