| Fast flow field prediction over airfoils using deep learning approach V Sekar, Q Jiang, C Shu, BC Khoo Physics of Fluids 31 (5), 057103, 2019 | 413 | 2019 |
| Inverse design of airfoil using a deep convolutional neural network V Sekar, M Zhang, C Shu, BC Khoo Aiaa Journal 57 (3), 993-1003, 2019 | 189 | 2019 |
| An efficient multilayer RBF neural network and its application to regression problems Q Jiang, L Zhu, C Shu, V Sekar Neural Computing and Applications, 1-18, 2021 | 68 | 2021 |
| Multilayer perceptron neural network activated by adaptive Gaussian radial basis function and its application to predict lid-driven cavity flow Q Jiang, L Zhu, C Shu, V Sekar Acta Mechanica Sinica, 1, 2021 | 23 | 2021 |
| Accurate near wall steady flow field prediction using Physics Informed Neural Network (PINN) V Sekar, Q Jiang, C Shu, BC Khoo arXiv preprint arXiv:2204.03352, 2022 | 11 | 2022 |
| Physics-based and Data-driven Deep Learning Models for Flow Field Prediction and Airfoil Design V Sekar PQDT-Global, 2021 | | 2021 |
| PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN V Sekar National University of Singapore, URI:https://scholarbank.nus.edu.sg/handle …, 2020 | | 2020 |
Chang ShuNational University of SingaporeEmail được xác minh tại nus.edu.sg