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2020 – today
- 2024
[j3]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:
Data-driven surrogate modelling of residual stresses in Laser Powder-Bed Fusion. Int. J. Comput. Integr. Manuf. 37(6): 685-707 (2024)- [j2]Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu:
A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design. Neural Networks 180: 106654 (2024) - [c5]Chin Chun Ooi, Anran Huang, Zhao Wei, Shiyao Qin, Jian Cheng Wong, Pao-Hsiung Chiu, My Ha Dao:
Importance of Nyquist-Shannon Sampling in Training of Physics-Informed Neural Networks. IJCNN 2024: 1-8 - [i9]Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu:
A Surrogate-Assisted Extended Generative Adversarial Network for Parameter Optimization in Free-Form Metasurface Design. CoRR abs/2401.02961 (2024) - [i8]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:
Tailoring Generative Adversarial Networks for Smooth Airfoil Design. CoRR abs/2404.11816 (2024) - 2023
- [c4]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. IJCNN 2023: 1-10 - [i7]Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao:
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. CoRR abs/2302.00557 (2023) - [i6]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. CoRR abs/2302.01518 (2023) - [i5]Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong:
Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR abs/2312.03243 (2023) - 2022
- [j1]Manna Dai, Yang Jiang, Feng Yang, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu:
SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks. Appl. Soft Comput. 130: 109646 (2022) - [c3]Xavier Tan, Manna Dai, Joyjit Chattoraj, Yong Liu, Xinxing Xu, My Ha Dao, Feng Yang:
Airfoil Inverse Design using Conditional Generative Adversarial Networks. ICARCV 2022: 143-148 - [c2]Zhong Liang Ou Yang, Yang Jiang, Jian Cheng Wong, Pao-Hsiung Chiu, Weijiang Zhao, My Ha Dao, Chin Chun Ooi:
Physics Compliance as a Metric for Neural Network Uncertainty. SSCI 2022: 1-7 - [c1]Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao:
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. SSCI 2022: 1469-1475 - 2021
- [i4]Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu, My Ha Dao:
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks. CoRR abs/2105.01838 (2021) - [i3]My Ha Dao, Hoang Huy Nguyen:
Projection-Based Reduced Order Model and Machine Learning Closure for Transient Simulations of High-Re Flows. CoRR abs/2105.10854 (2021) - [i2]My Ha Dao:
Projection-Based Reduced Order Model for Simulations of Nonlinear Flows with Multiple Moving Objects. CoRR abs/2106.02338 (2021) - [i1]Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method. CoRR abs/2110.15832 (2021)
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