Physics with AI and Machine Learning

Simulations, Data Analysis, Python Modelling and Smarter Problem Solving for Secondary and High School Physics

Physics and AI share a history, from Hopfield networks to a Nobel Prize. This guide shows secondary and high school teachers how to use AI and machine learning in the physics classroom. Eight chapters cover the history of AI and its links to physics, simulations and virtual laboratories, data analysis and graphs, problem solving and misconceptions, AI tutors, machine learning in real physics, and computational modelling with Python.

The last chapter addresses assessment, exams and academic honesty. You will find code examples, practical activities and academic references. The book helps students see how modern physics is practised without replacing the experiments and reasoning at the heart of the subject. Adapt the ideas to your syllabus and equipment.