The workshop’s objective is to cultivate the ground for the next generation of scientists who will be able to lead the development of data-driven techniques in materials modelling. We bring together young researchers, experts from computer science and applied mathematics, representatives from industry and start-ups, and renowned scientists in the field of chemistry and physics, to discuss the present and future of machine learning for materials. The particular focus of this meeting is active learning in materials science, including recent advances and perspectives.

Thanks to the generous contribution from our sponsors, the workshop is free of charge. It consists of 2 days of introductory school (Monday to Wednesday), followed by 2 days of conference (Wednesday to Friday). Participants can choose whether to attend both, or only the conference. This is an in-person event and registration will be confirmed on a first-come first-served basis. Online streaming of the event will also take place for those who cannot attend. A preliminary programme is available online. We welcome your oral and poster contributions via our website https://sites.utu.fi/al4ms2023/. Poster and Contributed Talk prizes will be awarded. The abstract deadline is the 20th of January 2023.

Event Registration Deadline: 20 January, 2023

FCAI organizer: Patrick Rinke