Machine learning-based particle accelerator modeling

An accelerator comes either in the form of a ring (a circular accelerator), where a beam of particles travels repeatedly round a loop, or in a straight line ...







Superconducting magnets for accelerators
Cambricon is a load-store architecture that integrates scalar, vector, matrix, logical, data transfer, and control instructions. The ISA design considers ...
REINFORCEMENT LEARNING APPROACHES FOR BEAM ...
Accelerator and irradiation facilities represent a key capability in R&D, medical and industrial infrastructures, and they can be used in a wide range of ...
Compute-in-Time for Deep Neural Network Accelerators
Particle accelerators are machines used for increasing the energy of charged particles. They find application in many fields of fundamental physics from ...



Autres Cours:

CERN ACCELERATOR SCHOOL GENERAL ... - INIS-IAEA