24 citations · 51 across the 6 of their papers we have counts for
7 papers · 1 filter
Machine-learning Closure for Vlasov-Poisson Dynamics in Fourier-Hermite Space
Nathaniel Barbour, William Dorland, Ian G. Abel +1
Accurate reduced models of turbulence are desirable to facilitate the optimization of magnetic-confinement fusion reactor designs. As a first step toward higher-dimensional turbule…
Omnigenous stellarator equilibria with enhanced stability
Rahul Gaur, Rory Conlin, David Dickinson +7
To build an economically viable stellarator, it is essential to find a configuration that satisfies a set of favorable properties to achieve efficient steady-state nuclear fusion.…
A quasi-linear model of electromagnetic turbulent transport and its application to flux-driven transport predictions for STEP
M. Giacomin, D. Dickinson, W. Dorland +7
A quasi-linear reduced transport model is developed from a database of high- electromagnetic nonlinear gyrokinetic simulations performed with Spherical Tokamak for Energy Produc…
Grad-Shafranov equilibria via data-free physics informed neural networks
Byoungchan Jang, Alan A. Kaptanoglu, Rahul Gaur +3
A large number of magnetohydrodynamic (MHD) equilibrium calculations are often required for uncertainty quantification, optimization, and real-time diagnostic information, making M…
Phase-space entropy cascade and irreversibility of stochastic heating in nearly collisionless plasma turbulence
Michael L. Nastac, Robert J. Ewart, Wrick Sengupta +3
We consider a nearly collisionless plasma consisting of a species of `test particles' in 1D-1V, stirred by an externally imposed stochastic electric field. The mean effect on the p…
Kinetic-Ballooning-Limited Pedestals in Spherical Tokamak Plasmas
J. F. Parisi, W. Guttenfelder, A. O. Nelson +12
A theoretical model is presented that for the first time matches experimental measurements of the pedestal width-height Diallo scaling in the low-aspect-ratio high- tokamak NSTX…