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.
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11-13 April, 2022 The meeting will be held at the University Conference Centre in Bochum. Organizers: Gerhard Dehm, Gerhard Weikum and Jörg Neugebauer
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15-20 March, 2020The Symposium will feature 5 invited talks (Mario Boley, Claudia Draxl, Andrew Ferguson, Surya R. Kalidindi, Chris Wolverton) and contributed talks. Organizers: Jörg Neugebauer, Matthias Scheffler and Kurt Kremer
Due to the deteriorating situation regarding the coronavirus (COVID-19), the symposium had to be cancelled.more
- Materials Science in the division MM (Metall und Materialphysik): Managing And Exploiting The Raw Material of The 21st Century. The symposium featured 6 invited talks (Stefano Curtarolo, Manuel Guizar-Sicairos, Cecile Hebert, Christoph Schweizer, Jilles Vreeken, Jan Vybíral, Czech Technic) and contributed talks . Organizers: C. Draxl and P. Fratzl
-“Fachverbandsübergreifendes” Symposium on Data-Driven Methods in Molecular Simulations of Soft-Matter Systems Organizers: D. Frenkel, Ch. Dellago, K. Kremer more
