Dienstag, 19. Juli 2022, 09:00 - 17:00 iCal

Machine Learning for Materials Hard and Soft

ESI-DCAFM-TACO-VDSP Summer School 2022

Boltzmanngasse 9, 1090 Wien


Weitere Termine

Montag, 11. Juli 2022, 09:00 - 17:00

Dienstag, 12. Juli 2022, 09:00 - 17:00

Mittwoch, 13. Juli 2022, 09:00 - 17:00

Donnerstag, 14. Juli 2022, 09:00 - 17:00

Freitag, 15. Juli 2022, 09:00 - 17:00

Montag, 18. Juli 2022, 09:00 - 17:00

Mittwoch, 20. Juli 2022, 09:00 - 17:00

Donnerstag, 21. Juli 2022, 09:00 - 17:00

Freitag, 22. Juli 2022, 09:00 - 17:00

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.


There is no registration fee but registration is compulsory. Furthermore, external MSc and PhD students have the opportunity to apply for travel support.


Places for the school are limited. It is planned that the school will take place on site. However, the school may be switched online if required due to the COVID situation.

Zur Webseite der Veranstaltung


The ESI-DCAFM-TACO-VDSP Summer School 2022 "Machine Learning for Materials Hard and Soft" is organized by Christoph Dellago (University of Vienna), Ulrike Diebold (TU Wien), Leticia González (University of Vienna) and Jani Kotakoski (University

Um Anmeldung wird gebeten


Christiane Maria Losert-Valiente Kroon
Fakultät für Physik