Shanliang Zhu

Shanliang Zhu

Professor of Mathematics
LocRes–PINN: A Physics–Informed Neural Network with Local Awareness and Residual Learning featured image

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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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
A Dual-attention Embedded CNN Model for Estimating Mixed Layer Depths in the Bay of Bengal featured image

A Dual-attention Embedded CNN Model for Estimating Mixed Layer Depths in the Bay of Bengal

Variations in ocean mixed layer depth (MLD) show a significant impact on energy balance in the global climate systems and marine ecosystems. So far, the accuracy of modeling MLD, …

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Wentao Jia
Estimating Subsurface Thermohaline Structure in the tropical Western Pacific using DO-ResNet model featured image

Estimating Subsurface Thermohaline Structure in the tropical Western Pacific using DO-ResNet model

Estimating ocean subsurface thermohaline information from satellite data is vital for understanding ocean dynamics and El Niño. This paper presents a double-output Residual Neural …

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Xianmei Zhou
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