97 citations · 158 across the 6 of their papers we have counts for
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physics.plasm-ph2021★ 8 cited
Turbulent field fluctuations in gyrokinetic and fluid plasmas
Abhilash Mathews, Noah Mandell, Manaure Francisquez +2
A key uncertainty in the design and development of magnetic confinement fusion energy reactors is predicting edge plasma turbulence. An essential step in overcoming this uncertaint…
physics.plasm-ph2021
Quantifying experimental edge plasma evolution via multidimensional adaptive Gaussian process regression
Abhilash Mathews, Jerry Hughes
The edge density and temperature of tokamak plasmas are strongly correlated with energy and particle confinement and their quantification is fundamental to understanding edge dynam…
physics.plasm-ph2021★ 44 cited
Constructing a new predictive scaling formula for ITER's divertor heat-load width informed by a simulation-anchored machine learning
C. S. Chang, S. Ku, R. Hager +6
Understanding and predicting divertor heat-load width is a critically important problem for an easier and more robust operation of ITER with high fusion gain. Previous predic…