Events

Department of Magnetic Reseach Seminar

Selected Machine Learning techniques in condensed matter physics – part 2

prof. dr hab. Maciej Maśka

Wydział Podstawowych Problemów Fizyki Politechniki Wrocławskiej

Machine learning (ML) is still a hot topic in various fields of physics. A general classification of ML techniques distinguishes Supervised Learning (SL), Unsupervised Learning (UL) and Reinforcement Learning (RL). The lecture will present examples of applications of all three methods. In particular, it will be demonstrated (i) how to use SL to distinguish continuous and discontinuous phase transitions in a few statistical physics models, (ii) how to use UL to perform analytic continuation and, in general, how to solve ill-posed inverse problems, and (iii) how to use RL to optimize a ground state configurations in spin models.