Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learning
Physics-informed neural network (PINN) is a data-driven solver for differential equations, providing a unified framework to address both forward and inverse problems. However, the complexity of the objective function often…
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