Mark D. Boyer
Boston Fusion (United States)(US)Commonwealth Fund(US)
Publications by Year
Research Areas
Magnetic confinement fusion research, Superconducting Materials and Applications, Fusion materials and technologies, Particle accelerators and beam dynamics, Nuclear reactor physics and engineering
Most-Cited Works
- → Fusion nuclear science facilities and pilot plants based on the spherical tokamak(2016)165 cited
- → Machine learning for disruption warnings on Alcator C-Mod, DIII-D, and EAST(2019)101 cited
- → Real-time capable modeling of neutral beam injection on NSTX-U using neural networks(2019)71 cited
- → Overview of NSTX Upgrade initial results and modelling highlights(2017)70 cited
- → Machine learning control for disruption and tearing mode avoidance(2020)63 cited
- → First-principles-driven model-based current profile control for the DIII-D tokamak via LQI optimal control(2013)63 cited
- → Toroidal current profile control during low confinement mode plasma discharges in DIII-D via first-principles-driven model-based robust control synthesis