My Ha Dao

According to our database, My Ha Dao authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-driven surrogate modelling of residual stresses in Laser Powder-Bed Fusion.

Lucas Lestandi, Jian Cheng Wong, Guoying Dong, Shemuel Joash Kuehsamy, J. Mikula, Guglielmo Vastola, Umesh Kizhakkinan, C. S. Ford, David William Rosen, My Ha Dao, Mark Hyunpong Jhon

Int. J. Comput. Integr. Manuf., June, 2024

A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design.

Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu

Neural Networks, 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

CoRR, 2024

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

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Generalizable Neural Physics Solvers by Baldwinian Evolution.

Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong

CoRR, 2023

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

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks.

Manna Dai, Yang Jiang, Feng Yang, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu

Appl. Soft Comput., 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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Airfoil Inverse Design using Conditional Generative Adversarial Networks.

Xavier Tan, Manna Dai, Joyjit Chattoraj, Yong Liu, Xinxing Xu, My Ha Dao, Feng Yang

Proceedings of the 17th International Conference on Control, 2022

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

Projection-Based Reduced Order Model for Simulations of Nonlinear Flows with Multiple Moving Objects.

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

Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks.

Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu, My Ha Dao

CoRR, 2021