Neural-Parareal dataset JOREK blob runs with RMHD model
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/11099526
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资源简介:
Please refer to journal paper from S.J.P.Pamela, titled
"Neural-Parareal: Self-improving acceleration of fusion MHD simulations using time-parallelisation and neural operators"
Available on ArXiV and on Comp.Phys.Comm.: https://doi.org/10.1016/j.cpc.2024.109391
Data produced by the JOREK code, https://jorek.eu
All runs created using the RMHD model, model-ID "model600", with option
with_vpar = .false.
Data downsampled by saving every 10th timestep, on a regular 2D grid of 100x100.
To reproduce full runs, use corresponding input files.
Note: variables names are the same as in the JOREK code:
u = electric potential
omega = toroidal vorticity
rho = density
T = temperature
psi = poloidal magnetic flux
zj = toroidal current
The create_gif.py can be used to convert data into movies.
创建时间:
2024-10-18



