activity
20182026
most citedUncovering turbulent plasma dynamics via deep learning from partial observations

87 citations · 409 across the 27 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

physics.plasm-ph2021★ 1 cited

Reduction of transport due to magnetic shear in gyrokinetic simulations of the scrape-off layer

N. R. Mandell, G. W. Hammett, A. Hakim +1

The effect of varying magnetic shear on scrape-off layer turbulence and profiles is studied via electromagnetic gyrokinetic simulations of a helical scrape-off layer model. We deve…

physics.plasm-ph2021★ 8 cited

Turbulent broadening of electron heat-flux width in electromagnetic gyrokinetic simulations of a helical scrape-off layer model

N. R. Mandell, G. W. Hammett, A. Hakim +1

We demonstrate that cross-field transport in the scrape-off layer (SOL) can be moderately increased by electromagnetic effects in high-beta regimes, resulting in a broader electron…

physics.plasm-ph2021★ 1 cited

Mapped discontinuous Galerkin interpolations and sheared boundary conditions

Manaure Francisquez, Noah R. Mandell, Ammar Hakim +1

Translations or, more generally, coordinate transformations of scalar fields arise in several applications, such as weather, accretion disk and magnetized plasma turbulence modelin…

physics.plasm-ph2021★ 24 cited

Improved multispecies Dougherty collisions

Manaure Francisquez, James Juno, Ammar Hakim +2

The Dougherty model Fokker-Planck operator is extended to describe nonlinear full-f collisions between multiple species in plasmas. Simple relations for cross-species interactions…

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…