One-dimensional ice shelf hardness inversion: clustering behavior and collocation resampling in physics-informed neural networks
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Publication:6054214
DOI10.1016/j.jcp.2023.112435MaRDI QIDQ6054214
Publication date: 27 September 2023
Published in: Journal of Computational Physics (Search for Journal in Brave)
inverse problemsnonlinear dynamicsice dynamicsgeophysical fluid dynamicsphysics-informed neural networksscientific machine learning
Artificial intelligence (68Txx) Numerical methods for partial differential equations, boundary value problems (65Nxx) Communication, information (94Axx)
Cites Work
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- Least squares quantization in PCM
- Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks
- Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
- DeepXDE: A Deep Learning Library for Solving Differential Equations
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