139 citations · 229 across the 4 of their papers we have counts for
4 papers
Convolution Operator Network for Forward and Inverse Problems (FI-Conv): Application to Plasma Turbulence Simulations
Xingzhuo Chen, Anthony Poole, Ionut-Gabriel Farcas +2
We propose the Convolutional Operator Network for Forward and Inverse Problems (FI-Conv), a framework capable of predicting system evolution and estimating parameters in complex sp…
Uncovering turbulent plasma dynamics via deep learning from partial observations
Abhilash Mathews, Manaure Francisquez, Jerry Hughes +3
One of the most intensely studied aspects of magnetic confinement fusion is edge plasma turbulence which is critical to reactor performance and operation. Drift-reduced Braginskii…
Gyrokinetic analysis and simulation of pedestals, to identify the culprits for energy losses using fingerprints
M. Kotschenreuther, X. Liu, D. R. Hatch +14
Fusion performance in tokamaks hinges critically on the efficacy of the Edge Transport Barrier (ETB) at suppressing energy losses. The new concept of fingerprints is introduced to…
Multiscale Equatorial Electrojet Turbulence: Energy Conservation, Coupling, and Cascades in a Baseline 2-D Fluid Model
Ehab Hassan, D. R. Hatch, P. J. Morrison +1
Progress in understanding the coupling between plasma instabilities in the equatorial electrojet based on a unified fluid model is reported. A deeper understanding of the linear an…