1 citations · 1 across the 2 of their papers we have counts for
2 papers
cond-mat.mes-hall2026
Overcoming intrinsic material limitations through cavity feedback
M. Ebrahimi, Y. Huang, V. A. S. V. Bittencourt +3
Magnons, the quanta of spin waves, have significant potential for use in modern technologies, especially when strongly coupled to another mode for read-out and control. However, wh…
physics.acc-ph2021★ 1 cited
Developing Robust Digital Twins and Reinforcement Learning for Accelerator Control Systems at the Fermilab Booster
D. Kafkes, M. Schram
We describe the offline machine learning (ML) development for an effort to precisely regulate the Gradient Magnet Power Supply (GMPS) at the Fermilab Booster accelerator complex vi…