Online | 12 June 2024 | 14:00 - 17:00 (CET)

Discover the frontier of materials discovery in our upcoming KNOWSKITE-X 2nd Webinar on “Machine Learning and Hybrid Modeling”. Join leading experts as they delve into topics like hybrid modeling for steel design, ML applications in mixed-metallic clusters, reinforcement learning for materials design, and Bayesian optimization for electrolyte design in redox flow batteries. This free webinar is open to all participants who register in advance.


14:00-14:05 | Welcoming | Bernhard Geiger (Know-Center)

14:05-14:15 | Introduction to KNOWSKITE-X | Elise Berrier (CNRS), Project coordinator

14:15-14:45 | Hybrid-modeling based materials development put into practice: The ALPmat platform and BO-based design of steels | Jürgen Spitaler (Materials Center Leoben)

14:45-15:15 | ML of energy-structure relationships in mixed-metallic clusters | Andreas Hauser (Graz University of Technology, Inst. of Experimental Physics)

15:15-15:30 | Break

15:30-16:00 | Reinforcement Learning for Materials Design | Seán Cody (Know-Center)

16:00-16:30 | Bayesian Optimization for Designing Electrolytes for Redox Flow Batteries | Robert Peharz (Graz University of Technology, Inst. of Theoretical Computer Science)

16:30-17:00 | Round table | Facilitated by Bernhard Geiger (Know-Center)

2024/06/12 14:00:00

The Webinar is completely free of charge.

Registered attendees will receive the link to join the webinar as soon as it is generated.