EXPO 2026: "Coupled Pendulums: A Hands-On Introduction to Physics-Informed Machine Learning" скачать в хорошем качестве

EXPO 2026: "Coupled Pendulums: A Hands-On Introduction to Physics-Informed Machine Learning"

Sat | 3:30 PM–4:00 PM ET Ngoc Huy Truong; Kansas State University, Manhattan, KS USA Abstract: Machine learning is increasingly used to study physical systems, even when differential equation models already exist. But when should we use data-driven methods, when should we stick with physics, and when should we combine them? In this notebook, students model coupled pendulums using two approaches: a physics-based two-frequency model and a neural network. By comparing both, they discover the strengths and weaknesses of each-and learn how to combine them for better results. For more information, visit https://qubeshub.org/community/groups...