Physics‑Informed Neural Networks: Teaching Models the Laws of Nature скачать в хорошем качестве

Physics‑Informed Neural Networks: Teaching Models the Laws of Nature

AI Winter School 2025, hosted by the Center for the Fundamental Physics of the Universe, Brown University Department of Physics, January 6-9, 2026 (https://indico.physics.brown.edu/even...) This session introduces Physics‑Informed Neural Networks (PiNNs), a powerful approach that blends data‑driven learning with fundamental physical equations. We’ll explore how incorporating domain knowledge into the training process improves accuracy, reduces data requirements, and increases interpretability. Through intuitive examples and hands‑on exercises, participants will learn how PiNNs solve differential equations, model real‑world systems, and outperform traditional ML approaches in low‑data regimes.