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Machine Learning for Accelerator Physics and Engineering

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Version 3 2021-10-04, 09:14
Version 2 2021-10-01, 08:12
Version 1 2021-09-30, 15:06
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posted on 2021-10-01, 08:12 authored by Peter SteinbachPeter Steinbach, Helene Hoffmann, Steve SchmerlerSteve Schmerler, Sebastian Starke
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.

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Helmholtz AI

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    machine learning-basedintroductionlessons learnedconsultingaccelerator physicsFAIR Data PrinciplesParticle PhysicsApplied PhysicsNuclear PhysicsAtomic, Molecular, Nuclear, Particle and Plasma Physics not elsewhere classified

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    CC BY 4.0

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