Wei-Tao Wu

发表

Grid adaptive reduced-order model of fluid flow based on graph convolutional neural network

Siheng Chen, Jiang-Zhou Peng, N. Aubry, 2022, Physics of Fluids.

Airfoil optimization based on multi-objective bayesian

Wei-Tao Wu, Ruo-Lin Liu, Qiang Zhao, 2022, Journal of Mechanical Science and Technology.

Guidance law based on deep Q network algorithm

Zhi-hua Chen, Wei-Tao Wu, Xian-jun He, 2022, Journal of Physics: Conference Series.

Surrogate modeling of heat transfers of nanofluids in absorbent tubes with fins based on deep convolutional neural network

Meng-Ge Li, Chang-Hao Yu, Wei-Tao Wu, 2023, International Journal of Heat and Mass Transfer.

Closed-loop forced heat convection control using deep reinforcement learning

Zhi Zhou, Yi-Zhe Wang, Zhi-hua Chen, 2023, International Journal of Heat and Mass Transfer.

Prediction of internal and external flow with sparse convolution neural network: A computationally effective reduced-order model

Siheng Chen, Jiang-Zhou Peng, N. Aubry, 2023, Physics of Fluids.

Fast optimization of multichip modules using deep learning coupled with Bayesian method

N. Aubry, Zhi Zhou, Wei-Tao Wu, 2023, International Communications in Heat and Mass Transfer.

Deep reinforcement learning based synthetic jet control on disturbed flow over airfoil

N. Aubry, Yi-Zhe Wang, Zhi-hua Chen, 2022, Physics of Fluids.

Prediction and optimization of airfoil aerodynamic performance using deep neural network coupled Bayesian method

Yubai Li, N. Aubry, Zhi Zhou, 2022, Physics of Fluids.

Computational modeling of hemodynamics and risk of thrombosis in the left atrial appendage using patient-specific blood viscosity and boundary conditions at the mitral valve

M. Neidlin, Min Wu, Jiade Zhu, 2023, Biomechanics and Modeling in Mechanobiology.

Accelerating and improving deep reinforcement learning-based active flow control: transfer training of policy network

N. Aubry, Jiahuan Cui, Yi-Zhe Wang, 2022, The Physics of Fluids.

Active control for the flow around various geometries through deep reinforcement learning

P. Wu, Wei-Tao Wu, Chun Zheng, 2022, Fluid Dynamics Research.

Performance analysis of reinforcement learning algorithms on intelligent closed-loop control on fluid flow and convective heat transfer

N. Aubry, Zhi Zhou, Yi-Zhe Wang, 2023, Physics of Fluids.

Control policy transfer of deep reinforcement learning based intelligent forced heat convection control

Jiang-Zhou Peng, Yi-Zhe Wang, Wei-Tao Wu, 2022, International Journal of Thermal Sciences.

Rapid optimization for inner thermal layout in horizontal annuli using genetic algorithm coupled graph convolutional neural network

Jiang-Zhou Peng, Wei-Tao Wu, Feng Feng, 2024, International Communications in Heat and Mass Transfer.

Airfoil shape optimization using genetic algorithm coupled deep neural networks

N. Aubry, Wei-Tao Wu, Xin-Yi Yuan, 2023, Physics of Fluids.

Physics-informed graph convolutional neural network for modeling geometry-adaptive steady-state natural convection

Jiang-Zhou Peng, N. Aubry, Wei-Tao Wu, 2023, International Journal of Heat and Mass Transfer.

Physics-informed graph convolutional neural network for modeling fluid flow and heat convection

Jiang-Zhou Peng, N. Aubry, Wei-Tao Wu, 2023, Physics of Fluids.