This work proposes a hybrid modeling framework based on recurrent neural networks
(RNNs) and the finite element (FE) method to approximate model discrepancies in time …

Magnetic fields generated by normal or superconducting electromagnets are used to guide
and focus particle beams in storage rings, synchrotron light sources, mass spectrometers …

Accurate numerical modeling of normal-conducting accelerator magnets requires a reliable
characterization of the iron saturation and hysteresis as well as a precise knowledge of the …

Measuring and evaluating the field quality of strongly curved magnets, which play a crucial
role in beam transmission, pose challenges for both design and experiment process. This …

Achieving accurate transfer maps for realistic beam-line elements hinges on obtaining
precise three-dimensional magnetic field data for both straight and curved beamlines …

Materials are of particular importance in all engineering fields, and they must display
properties compatible with their target application. This principle is also true for particle …