Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks. - Jian Cheng Wong; Chinchun Ooi; Pao-Hsiung Chiu; My Ha Dao (CoRR, 2021)

Projection-Based Reduced Order Model and Machine Learning Closure for Transient Simulations of High-Re Flows. - My Ha Dao; Hoang Huy Nguyen (CoRR, 2021)

Projection-Based Reduced Order Model for Simulations of Nonlinear Flows with Multiple Moving Objects. - My Ha Dao (CoRR, 2021)

CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method. - Pao-Hsiung Chiu; Jian Cheng Wong; Chinchun Ooi; My Ha Dao; Yew-Soon Ong (CoRR, 2021)

Airfoil Inverse Design using Conditional Generative Adversarial Networks. - Xavier Tan; Manna Dai; Joyjit Chattoraj; Yong Liu 026; Xinxing Xu; My Ha Dao; Feng Yang 011 (ICARCV, 2022)

Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. - Jian Cheng Wong; Chin Chun Ooi; Joyjit Chattoraj; Lucas Lestandi; Guoying Dong; Umesh Kizhakkinan; David William Rosen; Mark Hyunpong Jhon; My Ha Dao (SSCI, 2022)

Physics Compliance as a Metric for Neural Network Uncertainty. - Zhong Liang Ou Yang; Yang Jiang; Jian Cheng Wong; Pao-Hsiung Chiu; Weijiang Zhao; My Ha Dao; Chin Chun Ooi (SSCI, 2022)

SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks. - Manna Dai; Yang Jiang; Feng Yang 011; Xinxing Xu; Weijiang Zhao; My Ha Dao; Yong Liu 026 (Appl. Soft Comput., 2022)

LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. - Jian Cheng Wong; Pao-Hsiung Chiu; Chinchun Ooi; My Ha Dao; Yew-Soon Ong (IJCNN, 2023)

Generalizable Neural Physics Solvers by Baldwinian Evolution. - Jian Cheng Wong; Chin Chun Ooi; Abhishek Gupta 001; Pao-Hsiung Chiu; Joshua Shao Zheng Low; My Ha Dao; Yew-Soon Ong (CoRR, 2023)

Importance of Nyquist-Shannon Sampling in Training of Physics-Informed Neural Networks. - Chin Chun Ooi; Anran Huang; Zhao Wei; Shiyao Qin; Jian Cheng Wong; Pao-Hsiung Chiu; My Ha Dao (IJCNN, 2024)

Tailoring Generative Adversarial Networks for Smooth Airfoil Design. - Joyjit Chattoraj; Jian Cheng Wong; Zhang Zexuan; Manna Dai; Yingzhi Xia; Li Jichao; Xinxing Xu; Chin Chun Ooi; Yang Feng; My Ha Dao; Yong Liu 026 (CoRR, 2024)

A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design. - Manna Dai; Yang Jiang; Feng Yang 011; Joyjit Chattoraj; Yingzhi Xia; Xinxing Xu; Weijiang Zhao; My Ha Dao; Yong Liu 026 (Neural Networks, 2024)

Data-driven surrogate modelling of residual stresses in Laser Powder-Bed Fusion. - Lucas Lestandi; Jian Cheng Wong; Guoying Dong; Shemuel Joash Kuehsamy; Jakub Mikula; Guglielmo Vastola; Umesh Kizhakkinan; C. S. Ford; David W. Rosen; My Ha Dao; Mark Hyunpong Jhon (Int. J. Comput. Integr. Manuf., 2024)

MDDIP: Efficient single-layer pixel-based metasurface denoising via deep image prior. - Manna Dai; Yang Jiang; Feng Yang 011; Joyjit Chattoraj; Yingzhi Xia; Xinxing Xu; Weijiang Zhao; My Ha Dao; Yong Liu 026 (Knowl. Based Syst., 2025)

An Adaptive Port Technique for Synthesising Rotational Components in Component Modal Synthesis Approaches. - Xiang Zhao; My Ha Dao (CoRR, 2025)