PhD Students and Faculty win Best Paper Award at 2024 ICML Workshop on AI for Science

PhD students Gregory Lau Kang Ruey and Apivich Hemachandra, along with faculty members Professor Ng See-Kiong and Associate Professor Bryan Low Kian Hsiang, won the Best Paper Award at the 2024 International Conference on Machine Learning (ICML) Workshop on AI for Science. Their paper, "PINNACLE: PINN Adaptive ColLocation and Experimental Points Selection", introduces an innovative algorithm that optimises the training of Physics-Informed Neural Networks (PINNs). By leveraging Neural Tangent Kernel (NTK) analysis, PINNACLE dynamically selects and adjusts collocation and experimental points, leading to enhanced efficiency and accuracy in solving forward, inverse, and transfer learning problems. This breakthrough offers a promising new approach to tackling complex scientific and engineering challenges, showcasing significant performance improvements over current methods.