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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Reduced drift kinetic neoclassical tearing mode (RDK-NTM) solver and drift kinetic neoclassical tearing mode (DK-NTM) solver benchmarking

Authors: , Dudkovskaia; Imada; , Connor; Dickinson; Hill; , Wilson;

Reduced drift kinetic neoclassical tearing mode (RDK-NTM) solver and drift kinetic neoclassical tearing mode (DK-NTM) solver benchmarking

Abstract

A 4D drift kinetic non-linear code, DK-NTM, has been developed to describe the plasma response to the neoclassical tearing mode (NTM) magnetic perturbation. Employing the drift island formalism allows the dimensionality reduction from 4D to 3D (the RDK-NTM approach). This simplifies the numerical task and efficiently resolves the collisional boundary layer across the trapped-passing boundary. The benchmarking DK- and RDK-NTM data is presented.

Keywords

neoclassical tearing mode

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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!
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