Tangying Lv

LocRes–PINN: A Physics–Informed Neural Network with Local Awareness and Residual Learning

Physics–Informed Neural Networks (PINNs) have demonstrated efficacy in solving both forward and inverse problems for nonlinear partial differential equations (PDEs). However, they …

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AI Oceanography

Physics informed neural network framework for time-varying wind stress drag coefficient identification in the Ekman model

The Ekman equation is a fundamental model for describing the wind stress response in the ocean's upper layer,with its key parameters—the vertical eddy viscosity coefficient (VEVC) …

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Yitong Sun
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