39 citations · 39 across the 2 of their papers we have counts for
2 papers
physics.plasm-ph2024
Inverse Rendering of Fusion Plasmas: Inferring Plasma Composition from Imaging Systems
Ekin Öztürk, Rob Akers, Stanislas Pamela +3
In this work, we develop a differentiable rendering pipeline for visualising plasma emission within tokamaks, and estimating the gradients of the emission and estimating other phys…
physics.plasm-ph2023★ 39 cited
Plasma Surrogate Modelling using Fourier Neural Operators
Vignesh Gopakumar, Stanislas Pamela, Lorenzo Zanisi +10
Predicting plasma evolution within a Tokamak reactor is crucial to realizing the goal of sustainable fusion. Capabilities in forecasting the spatio-temporal evolution of plasma rap…