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Surrogate neural network-based partial differential equation (PDE) solvers have the potential to solve PDEs in an accelerated manner, but they are largely limited to systems featuring fixed domain sizes, geometric layouts, and boundary conditions.
A method of finite element tearing and interconnecting and its parallel solution algorithm
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An anisotropic perfectly matched layer-absorbing medium for the truncation of fdtd lattices
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Physics-informed neural operator for learning partial differential equations, 2023
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