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Fidimag V2.0

Fidimag V2.0
Fidimag V2.0
This new 2.0 release comes with a major refactoring of the old Sim and llg classes. Now Sim is properly used as a class to keep most of the simulation and material parameters. The integrators no longer derive from the llg class but from a new driver class. In the common folder we moved to different _base classes, common methods for both atomistic and micromagnetic simulations, reducing code repetition. Most of the methods have also been documented. Regarding the driver classes, it now stores all of the LLG related parameters (alpha, gamma, etc).This version also integrates the new NEBM code that uses Geodesic distances.There are still things that need to be improved: Functions like saving VTKs should be in a separated library rather than in the driver class Better and updated documentation for the new classes and Fidimag structure A plan to easily allow new integrators to be added to the code Revision/test of the stochastic methods Merge integrators into a common class since the main difference between the atomistic and micromagnetic codes comes from the field classesThe most recent code should be available at the github repository: http://github.com/computationalmodelling/fidimag
Micromagnetics, Python, Magnetic spin model
Zenodo
Cortes, David I
97d026d6-1083-4edf-8ba6-2f66a3e15033
Wang, Weiwei
d18d1a5f-8f1e-4529-9c88-885301adcfd7
Pepper, Ryan, Alexander
82ef34fc-7e93-4f98-8f85-ff0e5113ed17
Bisotti, Marc-Antonio
be2d7abd-afdc-4d18-a2e9-a633d73a67b9
Kluyver, Thomas
a4b41a4d-2eb7-4f36-be27-ebc8e7b104d0
Vousden, Mark
d45312dd-a46f-4376-89f4-38b1ac8957c9
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
Cortes, David I
97d026d6-1083-4edf-8ba6-2f66a3e15033
Wang, Weiwei
d18d1a5f-8f1e-4529-9c88-885301adcfd7
Pepper, Ryan, Alexander
82ef34fc-7e93-4f98-8f85-ff0e5113ed17
Bisotti, Marc-Antonio
be2d7abd-afdc-4d18-a2e9-a633d73a67b9
Kluyver, Thomas
a4b41a4d-2eb7-4f36-be27-ebc8e7b104d0
Vousden, Mark
d45312dd-a46f-4376-89f4-38b1ac8957c9
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160

Cortes, David I, Wang, Weiwei, Pepper, Ryan, Alexander, Bisotti, Marc-Antonio, Kluyver, Thomas, Vousden, Mark and Fangohr, Hans (2016) Fidimag V2.0. Zenodo doi:10.5281/zenodo.167858 [Dataset]

Record type: Dataset

Abstract

This new 2.0 release comes with a major refactoring of the old Sim and llg classes. Now Sim is properly used as a class to keep most of the simulation and material parameters. The integrators no longer derive from the llg class but from a new driver class. In the common folder we moved to different _base classes, common methods for both atomistic and micromagnetic simulations, reducing code repetition. Most of the methods have also been documented. Regarding the driver classes, it now stores all of the LLG related parameters (alpha, gamma, etc).This version also integrates the new NEBM code that uses Geodesic distances.There are still things that need to be improved: Functions like saving VTKs should be in a separated library rather than in the driver class Better and updated documentation for the new classes and Fidimag structure A plan to easily allow new integrators to be added to the code Revision/test of the stochastic methods Merge integrators into a common class since the main difference between the atomistic and micromagnetic codes comes from the field classesThe most recent code should be available at the github repository: http://github.com/computationalmodelling/fidimag

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More information

Published date: 2016
Keywords: Micromagnetics, Python, Magnetic spin model

Identifiers

Local EPrints ID: 434466
URI: http://eprints.soton.ac.uk/id/eprint/434466
PURE UUID: 05057acb-858d-4974-ab51-83f3f3a93e40
ORCID for David I Cortes: ORCID iD orcid.org/0000-0003-3799-3141
ORCID for Hans Fangohr: ORCID iD orcid.org/0000-0001-5494-7193

Catalogue record

Date deposited: 24 Sep 2019 16:31
Last modified: 21 Nov 2019 01:37

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