Neural-Parareal dataset JOREK blob runs with electrostatic model batch_1001-1500

<p>Please refer to journal paper from S.J.P.Pamela, titled</p> <p>"Neural-Parareal: Self-improving acceleration of fusion MHD simulations using time-parallelisation and neural operators"</p> <p>Available on ArXiV and on Comp.Phys.Comm.: https://doi.org/10.1016/j.cpc.2024.109391</p> <p>&nbsp;</p> <p>Data produced by the JOREK code, https://jorek.eu</p> <p>All runs created using the electrostatic model, model-ID "model003"</p> <p>Data downsampled by saving every 10th timestep, on a regular 2D grid of 100x100.</p> <p>To reproduce full runs, use corresponding input files.</p> <p>&nbsp;</p> <p>Note: variables names are the same as in the JOREK code:</p> <p>u = electric potential</p> <p>omega = toroidal vorticity</p> <p>rho = density</p> <p>T = temperature</p> <p>&nbsp;</p> <p>The create_gif.py can be used to convert data into movies.</p> <p>&nbsp;</p>