Burgers
Emerging15papers using it
2024first seen
Papers using Burgers (15)
- Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold NetworksMethod of Manufactured Learning for Solver-free Training of Neural OperatorsCoupled Integral PINN for DiscontinuityDiffusion models with physics-guided inference for solving partial differential equationsLate Fusion Neural Operators for Extrapolation Across Parameter Space in Partial Differential EquationsDo physics-informed neural networks (PINNs) need to be deep? Shallow PINNs using the Levenberg-Marquardt algorithmArchitecture-Optimization Co-Design for Physics-Informed Neural Networks Via Attentive Representations and Conflict-Resolved GradientsKD-PINN: Knowledge-Distilled PINNs for ultra-low-latency real-time neural PDE solversSynergizing Kolmogorov-Arnold Networks with Dynamic Adaptive Weighting for High-Frequency and Multi-Scale PDE SolutionsRRaPINNs: Residual Risk-Aware Physics Informed Neural NetworksA physics-informed transformer neural operator for learning generalized solutions of initial boundary value problemsDiscovering Physics-Informed Neural Networks Model for Solving Partial
Differential Equations through Evolutionary ComputationPARCv2: Physics-aware Recurrent Convolutional Neural Networks for
Spatiotemporal Dynamics ModelingPICL: Physics Informed Contrastive Learning for Partial Differential
EquationsMeta-learning Loss Functions of Parametric Partial Differential
Equations Using Physics-Informed Neural Networks