Machine Learning for Accelerator Physics and Engineering


Machine Learning for Accelerator Physics and Engineering

Steinbach, P.; Hoffmann, H.; Schmerler, S.; Starke, S.

Abstract

Helmholtz AI has been available for members of ARD since its inception 2019/20. In this presentation, I'd like to present the current status of Helmholtz AI consultancy for matter research in Helmholtz. I'd provide sneak previews into past and ongoing vouchers we embarked upon for the accelerator physics community. Last but not least, I'll discuss challenges we faced along the way and will highlight some future directions if time allows.

Keywords: machine learning; Helmholtz AI; accelerator physics; seminar

  • Open Access Logo Eingeladener Vortrag (Konferenzbeitrag) (Online Präsentation)
    MT ARD ST3 Meeting 2021 in Hamburg, 29.09.-01.10.2021, virtuell, Germany
    DOI: 10.6084/m9.figshare.16709350.v2

Permalink: https://www.hzdr.de/publications/Publ-33192