Research Data Leeds Repository

Dataset associated with "Frustration and thermalisation in an arti cial magnetic quasicrystal"

Shi, Dong and Budrikis, Zoe and Stein, Aaron and Morley, SA and Olmsted, Peter D and Burnell, Gavin (2017) Dataset associated with "Frustration and thermalisation in an arti cial magnetic quasicrystal". University of Leeds. [Dataset] https://doi.org/10.5518/176

Dataset description

We have created and studied artificial magnetic quasicrystals based on Penrose tiling patterns of interacting nanomagnets that lack the translational symmetry of spatially periodic artificial spin ices. Vertex-level degeneracy and frustration induced by the network topology of the Penrose pattern leads to a low energy configuration that we propose as a ground state. Topologically induced emergent frustration means that this ground state cannot be constructed from vertices in their ground states. It has two parts, a quasi-one-dimensional rigid "skeleton" that spans the entire pattern and is capable of long-range order, and "flippable" clusters of macrospins within it. These lead to macroscopic degeneracy for the array as a whole. Magnetic force microscopy imaging of Penrose tiling arrays revealed superdomains that are larger for more strongly coupled arrays. The superdomain size is larger after AC-demagnetisation and especially after annealing the array above its blocking temperature.

Subjects:	F000 - Physical sciences > F300 - Physics F000 - Physical sciences > F300 - Physics > F310 - Applied physics F000 - Physical sciences > F300 - Physics > F320 - Chemical physics > F321 - Solid-state physics
Divisions:	Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
Related resources:	Location Type https://arxiv.org/abs/1703.04792 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	04 Oct 2017 13:37
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/267
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Shi, Dong Budrikis, Zoe Stein, Aaron https://orcid.org/0000-0003-4424-5416 Morley, SA https://orcid.org/0000-0001-8197-2431 Olmsted, Peter D https://orcid.org/0000-0001-6538-9385 Burnell, Gavin https://orcid.org/0000-0002-9486-0639 Type of data: Dataset Research funders: U.S. DOE, EPSRC Grant numbers: DE-SC0012704, EP/L00285X/1 Publication date: 2017 Resource language: English Metadata language: English Publisher: University of Leeds Contact Email Address: C.H. Marrows@leeds.ac.uk Last Modified: 06 Dec 2017 16:59

Files

Documentation

readme.txt [1kB] readme.txt [1kB] readme.txt [1kB] Visible to: Anyone File name: readme.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Data

Computer Codes [225kB] Computer Codes [225kB] Computer Codes [225kB] Visible to: Anyone File name: Computer_Codes.zip Content type: Data Description: We supply both the Pythons cripts used to generate and analyse the MFM images and simulated patterns and also the code used to carry out the Monte Carlo calculations in the manuscript which is wirtten in C++ Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 225kB

Experimental Data [71MB] Experimental Data [71MB] Experimental Data [71MB] Visible to: Anyone File name: Experimental_Data.zip Content type: Data Description: This is mainly AFM and MFM images in standard PNG format and some SEM micrographs in standard tif format. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 71MB

Simulation Results [4MB] Simulation Results [4MB] Simulation Results [4MB] Visible to: Anyone File name: Simulation_Results.zip Content type: Data Description: These are the output files from the various Computer Codes included in the archive, along with an Output from the standard OMMFF micromagnetic simulations. Files are text with ewither .txt or .dat extensions. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 4MB