Computational Data Science in Physics III

This course provides realistic, contemporary examples of how computational methods apply to physics research. In this third module, learners will learn about how to simulate physics processes. This will culminate in simulations of lattice models including the Ising model, with relevance to contemporary lattice QCD.

Syllabus

Numerical Differential equations, Finite approximations and numerical integrators, Physics informed Machine Learning, Multi-body simulation, Finite Element Simulation, Monte Carlo, Deep Learning based sampling strategies, Markov Chain Monte Carlo, Simulation Based Inference/Likelihood free inference, AI-based anomaly detection, Lattice QCD, Normalizing Flows.