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An Adaptive Transferable Neural Network for Partial Differential Equations with Anisotropic or Sharp Solutions
Transferable neural network (TransNet) has demonstrated great potential for solving partial differential equations (PDEs) with high accuracy and efficiency. However, it struggles significantly when dealing with PDEs featuring anisotropy or sharp solutions. In this work, we propose an adaptive transf
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