five benchmark PDEs

The 'five benchmark PDEs' dataset contains a set of partial differential equations used to evaluate the performance and accuracy of physics-informed neural networks (PINNs) in solving these equations.

Papers using five benchmark PDEs (3)

Ultra Fast PDE Solving via Physics Guided Few-step Diffusion2026PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models2025BWLer: Barycentric Weight Layer Elucidates a Precision-Conditioning Tradeoff for PINNs2025