| Title |
Realization of ground state in artificial kagome spin ice via topological defect-driven magnetic writing
|
|---|---|
| Published in |
Nature Nanotechnology, November 2017
|
| DOI | 10.1038/s41565-017-0002-1 |
| Pubmed ID | |
| Authors |
Jack C. Gartside, Daan M. Arroo, David M. Burn, Victoria L. Bemmer, Andy Moskalenko, Lesley F. Cohen, Will R. Branford |
| Abstract |
Arrays of non-interacting nanomagnets are widespread in data storage and processing. As current technologies approach fundamental limits on size and thermal stability, enhancing functionality through embracing the strong interactions present at high array densities becomes attractive. In this respect, artificial spin ices are geometrically frustrated magnetic metamaterials that offer vast untapped potential due to their unique microstate landscapes, with intriguing prospects in applications from reconfigurable logic to magnonic devices or hardware neural networks. However, progress in such systems is impeded by the inability to access more than a fraction of the total microstate space. Here, we demonstrate that topological defect-driven magnetic writing-a scanning probe technique-provides access to all of the possible microstates in artificial spin ices and related arrays of nanomagnets. We create previously elusive configurations such as the spin-crystal ground state of artificial kagome dipolar spin ices and high-energy, low-entropy 'monopole-chain' states that exhibit negative effective temperatures. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 5% |
| Brazil | 1 | 5% |
| United States | 1 | 5% |
| Japan | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 15 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 75% |
| Scientists | 5 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 30% |
| Researcher | 16 | 18% |
| Student > Master | 12 | 13% |
| Student > Postgraduate | 4 | 4% |
| Professor > Associate Professor | 4 | 4% |
| Other | 6 | 7% |
| Unknown | 20 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 39 | 44% |
| Materials Science | 9 | 10% |
| Engineering | 5 | 6% |
| Chemistry | 4 | 4% |
| Computer Science | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 24 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 108. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 February 2018.
All research outputs
#352,372
of 23,866,543 outputs
Outputs from Nature Nanotechnology
#322
of 3,521 outputs
Outputs of similar age
#8,449
of 442,090 outputs
Outputs of similar age from Nature Nanotechnology
#8
of 63 outputs
Altmetric has tracked 23,866,543 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,521 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.2. This one has done particularly well, scoring higher than 90% of its peers.
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We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.