arXiv Machine Learning
Operator Learning for Predicting Bulk Wave Parameters of Spectral Wave Models
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Sampling sea state using a diffusion model
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ShipNet: A Geometric Deep Learning Surrogate for Real-Time Ship Hydrodynamics
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Starter-Iterator Neural Operator: A Unified Architecture for High-Fidelity Forward and Inverse PDE Problems
arXiv:2606. 18305v1 Announce Type: cross Abstract: Operator learning is an emerging interdisciplinary field that integrates machine learning with scientific computing.
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Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment
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