This summer school aims to introduce Ph.D. students and early postdocs to a broad range of artificial intelligence (AI) techniques used to accelerate materials discovery. The week long program will provide a solid foundation in the use of AI, and it will cover topics from basic techniques to state of the art machine learning potentials and active learning techniques. The final two days will highlight recent research efforts in the field. All lectures will be given by renowned researchers in the fields, and include two hands-on sessions to give the students practical experience with AI.
