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most citedPhysics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data

11 citations · 22 across the 10 of their papers we have counts for

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physics.flu-dyn2025

A novel hybrid neural network of fluid-structure interaction prediction for two cylinders in tandem arrangement

Yanfang Lyu, Yunyang Zhang, Zhiqiang Gong +3

Deep learning has shown promise in improving computing efficiency while ensuring modeling accuracy in fluid-structure interaction (FSI) analysis. However, its current capabilities…