Data set for: Nano-scale magnetic skyrmions and target states in confined geometries
Data set for: Nano-scale magnetic skyrmions and target states in confined geometries
This data set contains the libraries and scripts to completely reproduce the simulations of the publication "Nanoscale magnetic skyrmions and target states in confined geometries". These simulations are based on the Fidimag code [1] which can perform discrete spin simulations. The latest version of this data set can be found at: https://github.com/davidcortesortuno/paper-2019_nanoscale_skyrmions_target_states_confined_geometries [1] Bisotti, M.-A. et al., (2018). Fidimag – A Finite Difference Atomistic and Micromagnetic Simulation Package. Journal of Open Research Software. 6(1), p.22.
Romming, Niklas
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Hovorka, Ondrej
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Cortés-Ortuño, David
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Wiesendanger, Roland
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Kubetzka, André
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von Bergmann, Kirsten
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Fangohr, Hans
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Beg, Marijan
499a2633-2ab7-4ec3-ab2a-c6eae1874f83
Romming, Niklas
ad8be501-a54a-474b-8ee6-c5e7f92c12f3
Hovorka, Ondrej
a12bd550-ad45-4963-aa26-dd81dd1609ee
Cortés-Ortuño, David
eff2a6cc-62e0-4666-8b84-1aeea0cc5e46
Wiesendanger, Roland
c505a192-c6bb-4192-9f3f-4e1571f05ebd
Kubetzka, André
e8451167-9389-4f50-bbef-77efb9a798c2
von Bergmann, Kirsten
2422edde-75a0-4014-badd-b84d975299c8
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Beg, Marijan
499a2633-2ab7-4ec3-ab2a-c6eae1874f83
(2018)
Data set for: Nano-scale magnetic skyrmions and target states in confined geometries.
Zenodo
doi:10.5281/zenodo.1438395
[Dataset]
Abstract
This data set contains the libraries and scripts to completely reproduce the simulations of the publication "Nanoscale magnetic skyrmions and target states in confined geometries". These simulations are based on the Fidimag code [1] which can perform discrete spin simulations. The latest version of this data set can be found at: https://github.com/davidcortesortuno/paper-2019_nanoscale_skyrmions_target_states_confined_geometries [1] Bisotti, M.-A. et al., (2018). Fidimag – A Finite Difference Atomistic and Micromagnetic Simulation Package. Journal of Open Research Software. 6(1), p.22.
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More information
Published date: 28 September 2018
Identifiers
Local EPrints ID: 473965
URI: http://eprints.soton.ac.uk/id/eprint/473965
PURE UUID: def5b46a-3a50-4b44-bf5b-6c5ca1a48668
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Date deposited: 06 Feb 2023 17:49
Last modified: 26 Jul 2023 01:43
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Contributors
Contributor:
Niklas Romming
Contributor:
David Cortés-Ortuño
Contributor:
Roland Wiesendanger
Contributor:
André Kubetzka
Contributor:
Kirsten von Bergmann
Contributor:
Marijan Beg
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