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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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Fast calculation methods for the magnetic field of particle lattices: Datasets and scripts

Authors: Royo-Silvestre, I.;

Fast calculation methods for the magnetic field of particle lattices: Datasets and scripts

Abstract

*********************************************** README.txt ************************************************** Title: Fast calculation methods for the magnetic field of particle lattices: Datasets and scripts Version: 1.0 Date of Release: 2024/10/11 Identifier: doi:10.5281/zenodo.13930969 Permalink: http://dx.doi.org/10.5281/zenodo.13930969 ************************************************************************************************************* Associated publication: I. Royo-Silvestre, D. Gandia, J. J. Beato-López, E. Garaio, C. Gómez-Polo "Fast calculation methods for the magnetic field of particle lattices" (paper yet to be published) Link to publication: (paper yet to be published) Suggested citation: Please reference the associated publication above when using any datasets or materials described in this README file. Contact information: Isaac Royo Silvestre, Universidad Pública de Navarra, Pamplona, Spain, isaac.royo@unavarra.es License: CC BY 4.0 ------------------------------------------------------------------------------------------------------------ This directory contains the following datasets and supplementary materials: ------------------------------ SCRIPTS ------------------------------ - scripts.zip Matlab scripts (compressed zip file) used to calculate the magnetic field of lattices of magnetic particles by analytical and semianalytical methods (more information in the associated paper) -------------------------------- DATASETS -------------------------------- - data.zip: Tabular data required to plot curves (compressed zip file) in csv format, also data used to obtain average values Specific documentation of each file is described in readme files. Refer to the original manuscript (see above) for additional information regarding the collection and generation of these data. ------------------------------------------------------------------------------------------------------------ --------------------------------------------------------------------- DOCUMENTATION FOR 'scripts.zip' --------------------------------------------------------------------- The zip file contains another readme.txt file (that explains the content of the zip file in detail), and multiple .m files. m files are Matlab scripts, text files that can be read using any text editor. However it has to be executed via Matlab, scripts contain documentation as comments. --------------------------------------------------------------- DOCUMENTATION FOR 'data.zip' --------------------------------------------------------------- The zip file contains another readme.txt file (that explains the content of the zip file in detail), multiple .dat files with data used to obtain averaged valus (see format in the readme.txt contained in the zip), and a folder "curves". The curves folder contains tabular data in .csv files, these files can be used to plot the curves in the manuscript.

This work is funded by Spanish Agencia Estatal de Investigación and Ministerio de Ciencia e Innovación MCIN/AEI/ 10.13039/501100011033 and by "European Union NextGenerationEU/PRTR, project TED2021-130884B-I00.

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Keywords

magnetism, composites

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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