Burgers

Papers using Burgers (15)

Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks2025 · 14 citesMethod of Manufactured Learning for Solver-free Training of Neural Operators2025 · 1 citesCoupled Integral PINN for Discontinuity2024 · 1 citesDiffusion models with physics-guided inference for solving partial differential equations2026Late Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential Equations2026Do physics-informed neural networks (PINNs) need to be deep? Shallow PINNs using the Levenberg-Marquardt algorithm2026Architecture-Optimization Co-Design for Physics-Informed Neural Networks Via Attentive Representations and Conflict-Resolved Gradients2026KD-PINN: Knowledge-Distilled PINNs for ultra-low-latency real-time neural PDE solvers2025Synergizing Kolmogorov-Arnold Networks with Dynamic Adaptive Weighting for High-Frequency and Multi-Scale PDE Solutions2025RRaPINNs: Residual Risk-Aware Physics Informed Neural Networks2025A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems2024Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation2024 · 8 citesPARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling2024 · 3 citesPICL: Physics Informed Contrastive Learning for Partial Differential Equations2024 · 2 citesMeta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks2024