R&D: Artificial Intelligence applied to particle accelerators
R&D : Artificial Intelligence applied to particle accelerators
Recent advances in Artificial Intelligence and especially in Machine Learning have roused a growing interest in the field of particle accelerators.
The modern accelerator projects have very high stability and/or reliability requirements that may exceed the capacity of regular control systems. In this context, those new algorithms have the potential to help develop new control systems and strategies.
ACS is a pioneer in this sphere.
We employ an industrial Ph.D. student in collaboration with LPSC (Laboratory of Subatomic Physics & Cosmology, Grenoble) and SCK.CEN (Belgian Nuclear Research Center, Belgium).
The goal is to study and to develop Machine Learning algorithms to improve the stability and reliability of the MYRRHA accelerator.
Transmutation of nuclear waste