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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Neural-Parareal dataset JOREK blob runs with electrostatic model batch_1501-2000

Authors: Pamela, Stanislas;

Neural-Parareal dataset JOREK blob runs with electrostatic model batch_1501-2000

Abstract

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 electrostatic model, model-ID "model003" 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 The create_gif.py can be used to convert data into movies.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average