activity
20202022
most citedConstructing a new predictive scaling formula for ITER's divertor heat-load width informed by a simulation-anchored machine learning

44 citations · 70 across the 2 of their papers we have counts for

collaborators

4 papers

physics.plasm-ph202226 cited

Optimizing beam-ion confinement in ITER by adjusting the toroidal phase of the 3-D magnetic fields applied for ELM control

L. Sanchis, M. Garcia-Munoz, E. Viezzer +8

The confinement of Neutral Beam Injection (NBI) particles in the presence of n=3 Resonant Magnetic Perturbations (RMPs) in 15 MA ITER DT plasmas has been studied using full orbit A…

physics.plasm-ph2021

Simulations of COMPASS Vertical Displacement Events with a self-consistent model for halo currents including neutrals and sheath boundary conditions

F. J. Artola, A. Loarte, E. Matveeva +11

The understanding of the halo current properties during disruptions is key to design and operate large scale tokamaks in view of the large thermal and electromagnetic loads that th…

physics.plasm-ph202144 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…

physics.plasm-ph2020

Understanding the reduction of the edge safety factor during hot VDEs and fast edge cooling events

F. J. Artola, K. Lackner, G. T. A. Huijsmans +3

In the present work a simple analytical approach is presented in order to clarify the physics behind the edge current density behaviour of a hot plasma entering in contact with a r…