“Machine Learning for Materials Hard and Soft” Summer School 2022

11–22 July 2022

ESI – University of Vienna
Vienna, Austria

Registration deadline: 26 April 2022

Driven by the availability of large data sets and the application of artificial intelligence algorithms, materials science is currently undergoing a dramatic transformation. In particular, machine learning approaches are opening up new possibilities to model, understand, design and discover new materials. In this summer school, geared towards doctoral and advanced master students, participants will gain an understanding of various machine learning methods and learn about their application to hard and soft materials. Introductory lectures will be complemented with hands-on exercises as well as research talks about the current state of the art.


More detailed information, links to register and apply for travel support can be found here.