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Realization of ground state in artificial kagome spin ice via topological defect-driven magnetic writing.
Gartside, Jack C; Arroo, Daan M; Burn, David M; Bemmer, Victoria L; Moskalenko, Andy; Cohen, Lesley F; Branford, Will R.
Afiliação
  • Gartside JC; Blackett Laboratory, Imperial College London, London, SW7 2AZ, UK. j.carter-gartside13@imperial.ac.uk.
  • Arroo DM; Blackett Laboratory, Imperial College London, London, SW7 2AZ, UK.
  • Burn DM; Diamond Light Source, Didcot, OX11 0DE, UK.
  • Bemmer VL; Department of Materials, Imperial College London, London, SW7 2AZ, UK.
  • Moskalenko A; Blackett Laboratory, Imperial College London, London, SW7 2AZ, UK.
  • Cohen LF; Blackett Laboratory, Imperial College London, London, SW7 2AZ, UK.
  • Branford WR; Blackett Laboratory, Imperial College London, London, SW7 2AZ, UK.
Nat Nanotechnol ; 13(1): 53-58, 2018 01.
Article em En | MEDLINE | ID: mdl-29158603
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article