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XI-DeepONet: An operator learning method for elliptic interface problems
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DOI：10.1016/j.jcp.2025.114164.png)
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Abstract
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• Proposing an operator learning architecture to solve the elliptic interface problems. • Effectively handling the low regularity of solutions and complex interface geometries. • The network can infer solutions with various interface geometries once trained. • The network can be trained without any paired input-output data. • The numerical results demonstrate the robustness and effectiveness.
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3.8
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1.6W
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7.4W
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