| Time-variant prediction of flow over an airfoil using deep neural network JZ Peng, S Chen, N Aubry, ZH Chen, WT Wu Physics of Fluids 32 (12), 2020 | 54 | 2020 |
| Unsteady reduced-order model of flow over cylinders based on convolutional and deconvolutional neural network structure JZ Peng, S Chen, N Aubry, Z Chen, WT Wu Physics of Fluids 32 (12), 2020 | 54 | 2020 |
| Geometry and boundary condition adaptive data-driven model of fluid flow based on deep convolutional neural networks JZ Peng, N Aubry, S Zhu, Z Chen, WT Wu Physics of Fluids 33 (12), 2021 | 38 | 2021 |
| Data-driven modeling of geometry-adaptive steady heat conduction based on convolutional neural networks JZ Peng, X Liu, N Aubry, Z Chen, WT Wu Case Studies in Thermal Engineering 28, 101651, 2021 | 33 | 2021 |
| Physics-informed graph convolutional neural network for modeling fluid flow and heat convection JZ Peng, Y Hua, YB Li, ZH Chen, WT Wu, N Aubry Physics of Fluids 35 (8), 2023 | 26 | 2023 |
| Grid adaptive reduced-order model of fluid flow based on graph convolutional neural network JZ Peng, YZ Wang, S Chen, ZH Chen, WT Wu, N Aubry Physics of Fluids 34 (8), 2022 | 24 | 2022 |
| Data-driven modeling of geometry-adaptive steady heat convection based on convolutional neural networks JZ Peng, X Liu, ZD Xia, N Aubry, Z Chen, WT Wu Fluids 6 (12), 436, 2021 | 22 | 2021 |
| Prediction of internal and external flow with sparse convolution neural network: A computationally effective reduced-order model JZ Peng, N Aubry, Y Hua, ZH Chen, WT Wu, S Chen Physics of Fluids 35 (2), 2023 | 17 | 2023 |
| Physics-informed graph convolutional neural network for modeling geometry-adaptive steady-state natural convection JZ Peng, N Aubry, YB Li, M Mei, ZH Chen, WT Wu International Journal of Heat and Mass Transfer 216, 124593, 2023 | 15 | 2023 |
| Thermal performance in convection flow of nanofluids using a deep convolutional neural network Y Hua, JZ Peng, ZF Zhou, WT Wu, Y He, M Massoudi Energies 15 (21), 8195, 2022 | 11 | 2022 |
| Reduced order modelling of natural convection of nanofluids in horizontal annular pipes based on deep learning XJ He, CH Yu, Q Zhao, JZ Peng, ZH Chen, Y Hua International Communications in Heat and Mass Transfer 138, 106361, 2022 | 11 | 2022 |
| Rapid optimization for inner thermal layout in horizontal annuli using genetic algorithm coupled graph convolutional neural network F Feng, YB Li, ZH Chen, WT Wu, JZ Peng, M Mei International Communications in Heat and Mass Transfer 150, 107210, 2024 | 6 | 2024 |
| Real-time prediction of transarterial drug delivery based on a deep convolutional neural network XY Yuan, Y Hua, N Aubry, M Zhussupbekov, JF Antaki, ZF Zhou, JZ Peng Applied Sciences 12 (20), 10554, 2022 | 6 | 2022 |
| Control policy transfer of deep reinforcement learning based intelligent forced heat convection control YZ Wang, JZ Peng, N Aubry, YB Li, ZH Chen, WT Wu International Journal of Thermal Sciences 195, 108618, 2024 | 5 | 2024 |
| Thermal performance estimation of nanofluid-filled finned absorber tube using deep convolutional neural network Y Hua, CH Yu, JZ Peng, WT Wu, Y He, ZF Zhou Applied Sciences 12 (21), 10883, 2022 | 4 | 2022 |
| Fast spatiotemporal sequence graph convolutional network-based transient flow prediction around different airfoils HR Xie, ZQ Wang, YB Li, Q Li, WT Wu, JL Han, JZ Peng, Y He Physics of Fluids 36 (10), 2024 | 2 | 2024 |
| Rapid and sparse reconstruction of high-speed steady-state and transient compressible flow fields using physics-informed graph neural networks JZ Peng, ZQ Wang, X Rong, M Mei, M Wang, Y He, WT Wu Physics of Fluids 36 (4), 2024 | 2 | 2024 |
| Data and physics-driven modeling for fluid flow with a physics-informed graph convolutional neural network JZ Peng, Y Hua, N Aubry, ZH Chen, M Mei, WT Wu Ocean Engineering 301, 117551, 2024 | 1 | 2024 |
| Graph convolution network-based surrogate model for natural convection in annuli F Feng, YB Li, ZH Chen, WT Wu, JZ Peng, M Mei Case Studies in Thermal Engineering 57, 104330, 2024 | 1 | 2024 |
| Computationally effective estimation of supersonic flow field around airfoils using sparse convolutional neural network MY Wu, JZ Peng, ZM Qiu, ZH Chen, YB Li, WT Wu Fluid Dynamics Research 55 (3), 035504, 2023 | 1 | 2023 |
Wei-Tao Wu (吴威涛)Professor, Associate Dean, Nanjing University of Science and Technology在 njust.edu.cn 的电子邮件经过验证
