Learning strategies for physics-informed neural networks

• Main Author: Wong, Jian Cheng
• Other Authors: Ong Yew Soon
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2025
• Subjects: Computer and Information Science; Mathematical Sciences; Physics; Physics-informed neural networks; Scientific machine learning; Evolutionary computation
• Online Access: https://hdl.handle.net/10356/182950
• Institution: Nanyang Technological University

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 laws and able to accurately simulate them. This thesis studies the challenges of physics-informed learning and explores new...