Dr. Ben Moseley taught students how to design scalable physics-informed neural networks at Centrum Wiskunde & Informatica in Amsterdam during their Autumn School on Scientific Machine Learning and Numerical Methods.

The full workshop recording is now on YouTube, and the slides and practical exercises are on GitHub.

Here’s what he covered:
Session 1: Introduction to scientific machine learning and PINNs
Session 2: Accelerating PINNs with JAX
Session 3: Accelerating PINNs with domain decomposition and numerical linear algebra.