The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
@unpublished{adelmann:icalepcs2019-thcpl01,
author = {A. Adelmann},
title = {{Report From the 2nd ICFA Mini-Workshop on Machine Learning for Charged Particle Accelerators}},
booktitle = {Proc. ICALEPCS'19},
language = {english},
intype = {presented at the},
series = {International Conference on Accelerator and Large Experimental Physics Control Systems},
number = {17},
venue = {New York, NY, USA},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {aug},
year = {2020},
note = {presented at ICALEPCS2019 in New York, NY, USA, unpublished},
abstract = {The goal of this workshop series is to build a world-wide community of researchers interested in applying machine learning techniques to particle accelerators. Machine Learning for accelerator science will include accelerator physicists, computer and controls scientists. I will give a summary on the discussed machine learning topics: facility needs, prognostics, optimization, and beam dynamics.},
}