Operator Learning for Predicting Bulk Wave Parameters of Spectral Wave Models

arXiv:2604.06433 · physics.comp-ph, cs.LG, physics.flu-dyn · Submitted 2026-04-07 · Read on arXiv

physics.comp-ph, cs.LG, physics.flu-dyn

Submitted: 2026-04-07

Updated: 2026-08-28

Comments: 46 pages, 15 figures

Journal ref: Ocean Engineering 367, (2026): 127866

DOI: 10.1016/j.oceaneng.2026.127866

Code: https://github.com/ShukaiC/NeuralOperator-CoastalWaves

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• DeepONet — 71× in this paper · explained in 2 episodes
• Accuracy — 15× in this paper · explained in 1 episode
• Activation Function — 5× in this paper · explained in 1 episode
• Fidelity — 4× in this paper · explained in 2 episodes
• Wave Action Balance Equation — 4× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Field Research Facility — 2× in this paper
• Fourier Neural Operator — 2× in this paper
• Interpretability — 2× in this paper · explained in 15 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes

Sources

• A Neural Operator Emulator for Coastal and Riverine Shallow Water Dynamics

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