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 classes
The most recent code should be available at the github repository: http://github.com/computationalmodelling/fidimag
Micromagnetics, Python, Magnetic spin model
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
d3bd4245-1a99-4268-b34f-8f9f0153465e
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
d3bd4245-1a99-4268-b34f-8f9f0153465e
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]
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 classes
The most recent code should be available at the github repository: http://github.com/computationalmodelling/fidimag
This record has no associated files available for download.
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
Catalogue record
Date deposited: 24 Sep 2019 16:31
Last modified: 06 Jun 2024 01:38
Export record
Altmetrics
Contributors
Creator:
David I Cortes
Creator:
Weiwei Wang
Creator:
Ryan, Alexander Pepper
Creator:
Marc-Antonio Bisotti
Creator:
Thomas Kluyver
Creator:
Mark Vousden
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics