Burgers' equation
Emerging26papers using it
2024first seen
Papers using Burgers' equation (26)
- Learning Hidden Physics and System Parameters with Deep Operator NetworksPartitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine LearningDeep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed LearningGradient Enhanced Self-Training Physics-Informed Neural Network (gST-PINN) for Solving Nonlinear Partial Differential EquationsHigh precision PINNs in unbounded domains: application to singularity formulation in PDEsLearning embeddings of non-linear PDEs: the Burgers' equationPhysics-Informed Laplace Neural Operator for Solving Partial Differential EquationsSize is Not the Solution: Deformable Convolutions for Effective Physics Aware Deep LearningOperator Learning at Machine PrecisionPO-CKAN:Physics Informed Deep Operator Kolmogorov Arnold Networks with Chunk Rational StructureLearning to Solve Optimization Problems Constrained with Partial Differential EquationsThermodynamically Consistent Latent Dynamics Identification for Parametric SystemsMesh-free sparse identification of nonlinear dynamicsQuantum Recurrent Neural Networks with Encoder-Decoder for
Time-Dependent Partial Differential EquationsWavelet Diffusion Neural OperatorFrom Mesh to Neural Nets: A Multi-Method Evaluation of Physics-Informed
Neural Networks and Galerkin Finite Element Method for Solving Nonlinear
Convection-Reaction-Diffusion EquationsRegime-Aware Time Weighting for Physics-Informed Neural NetworksConstrained or Unconstrained? Neural-Network-Based Equation Discovery
from DataBinary structured physics-informed neural networks for solving equations
with rapidly changing solutionsInvestigating Guiding Information for Adaptive Collocation Point
Sampling in PINNsOptimal time sampling in physics-informed neural networksDensely Multiplied Physics Informed Neural NetworksDiffGrad for Physics-Informed Neural NetworksFB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of
Complex PDEs via Hypernetwork and Finite Basis Domain DecompositionTENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural
Nets Toward Machine PrecisionKAN/MultKAN with Physics-Informed Spline fitting (KAN-PISF) for
ordinary/partial differential equation discovery of nonlinear dynamic systems