1 citations · 1 across the 16 of their papers we have counts for
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FPGA-Accelerated Real-Time Beam Emission Spectroscopy Diagnostics at DIII-D Using the SLAC Neural Network Library for ML Inference
Abhilasha Dave, James Russell, Mudit Mishra +9
Achieving reliable real-time control of tokamak plasmas is essential for sustaining high-performance operation in next-generation fusion reactors. A major challenge is the accurate…
Parallelized Real-time Physics Codes for Plasma Control on DIII-D
A. Rothstein, K. Erickson, R. Conlin +2
A real-time safe multi-threading library was developed on the DIII-D plasma control system to optimize the realtime TORBEAM and real-time STRIDE physics codes. These physics codes…
Enabling Integrated AI Control on DIII-D: A Control System Design with State-of-the-art Experiments
Andrew Rothstein, Hiro Joseph Farre-Kaga, Jalal Butt +7
We present the design and application of a general algorithm for Prediction And Control using MAchiNe learning (PACMAN) in DIII-D. Machine learing (ML)-based predictors and control…
Omnigenous umbilic stellarators
R. Gaur, D. Panici, T. M. Elder +6
To better understand the dependence of the magnetic field structure in the plasma edge on the plasma boundary shape, in the context of X-point and island divertor designs, we defin…
Feedforward equilibrium trajectory optimization with GSPulse
J. T. Wai, M. D. Boyer, D. J. Battaglia +5
One of the common tasks required for designing new plasma scenarios or evaluating capabilities of a tokamak is to design the desired equilibria using a Grad-Shafranov (GS) equilibr…
Surface Current Optimization and Coil-Cutting Algorithms for Stage-Two Stellarator Optimization
Dario Panici, Rory Conlin, Rahul Gaur +8
Stellarator optimization often takes a two-stage approach, where in the first stage the boundary is varied in order to optimize for some physics metrics, while in the second stage…