吕唐莹

吕唐莹

2023级数学硕士研究生
青岛科技大学
专注于改进物理信息神经网络（PINN）对流体非线性特征的表征能力，通过优化网络架构提升其在复杂流场下的学习精度。
LocRes–PINN: A Physics–Informed Neural Network with Local Awareness and Residual Learning featured image
Radial Basis Function

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

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吕唐莹
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Physics informed neural network framework for time-varying wind stress drag coefficient identification in the Ekman model featured image
AI Oceanography

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

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孙一桐
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