Optimising Particle Accelerators with Adaptive Machine Learning

Alexander Scheinker introduces new techniques based on machine learning.

Machine learning has become a staple of research into many of today’s most cutting-edge technologies. Until now, however, it has not been widely considered as a useful tool for online optimisation of the performance of particle accelerators. Through his research, Dr Alexander Scheinker at the Los Alamos National Laboratory in New Mexico, USA, introduces new techniques based on machine learning, […]

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