天津大学教师个人主页系统陈念众 C. Jiang, N. Z. Chen. Gradient-Free Physics-Informed Neural Networks (GF-PINNs) for vortex shedding prediction in flow past square cylinders. Computers in Industry, 2025, 169, 104304. 中文主页

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陈念众

教师拼音名称：Nianzhong Chen
职务：无
性别：男
职称：教授
所属院系：建筑工程学院

代表性期刊论文

Current position:: 中文主页 >> 学术成就 >> 代表性期刊论文

C. Jiang, N. Z. Chen. Gradient-Free Physics-Informed Neural Networks (GF-PINNs) for vortex shedding prediction in flow past square cylinders. Computers in Industry, 2025, 169, 104304.

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上一条:C. Jiang, N. Z. Chen. G-Twin: Graph neural network-based digital twin for real-time and high-fidelity structural health monitoring for offshore wind turbines. Marine Structures, 2025, 103, 103813.

下一条:Z. Zhao and N.Z. Chen. A single-sensor method for structural damage localization in wind turbine blades: laboratory assessment on a blade segment. Mechanical Systems and Signal Processing, 2024, 214, 111370.