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Top-down design of magnonic crystals from bottom-up magnetic nanoparticles through protein arrays

descriptionPublicationkeyboard_double_arrow_right Article 15 Mar 2017 United Kingdom Publisher:IOP PublishingJournal:Nanotechnology, volume 28, page 155,301 (issn: 0957-4484, eissn: 1361-6528,

Authors: Jean-Charles Eloi; Mitsuhiro Okuda; Mitsuhiro Okuda; Dirk Grundler; Dirk Grundler; V. V. Kruglyak; T. Schwarze; +6 Authors

doi: 10.1088/1361-6528/aa62f3

pmid: 28294104

handle: 1983/7332ce35-d4b9-492e-b7d5-e05bab457fcd , 10871/36098

Top-down design of magnonic crystals from bottom-up magnetic nanoparticles through protein arrays

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Abstract

We show that chemical fixation enables top-down micro-machining of large periodic 3D arrays of protein-encapsulated magnetic nanoparticles (NPs) without loss of order. We machined 3D micro-cubes containing a superlattice of NPs by means of focused ion beam etching, integrated an individual micro-cube to a thin-film coplanar waveguide and measured the resonant microwave response. Our work represents a major step towards well-defined magnonic metamaterials created from the self-assembly of magnetic nanoparticles.

Country

United Kingdom

Related Organizations

Technical University of Munich
Germany
École Polytechnique Fédérale de Lausanne EPFL
Switzerland
Ikerbasque
Spain
University of Bristol
United Kingdom
University of Salford
United Kingdom

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Keywords

Ferritin, Chemical fixation, ferritin, magnetic nanoparticle, Protein Array Analysis, 600, self-assembly, Self-assembly, 530, Ferromagnetic resonance, ferromagnetic resonance, Ferritins, Magnonics, chemical fixation, magnonics, Magnonic metamaterial, magnonic metamaterial, Crystallization, Magnetite Nanoparticles

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	citations 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).	24
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%