1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.NE2026★ 1 cited
Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect
Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta +4
Physics-informed neural networks (PINNs) are at the forefront of scientific machine learning, making possible the creation of machine intelligence that is cognizant of physical law…
cs.LG2024
Tailoring Generative Adversarial Networks for Smooth Airfoil Design
Joyjit Chattoraj, Jian Cheng Wong, Zhang Zexuan +8
In the realm of aerospace design, achieving smooth curves is paramount, particularly when crafting objects such as airfoils. Generative Adversarial Network (GAN), a widely employed…