Looking for clues in spin ice: Spectral fingerprint of magnetic monopoles discovered

02-May-2013 - Germany

An international team of researchers including scientists from Jülich have proposed a new method to identify and analyse exotic material properties in certain nanostructured magnets using experiments. The researchers hope that this will allow such properties in artificial spin-ice materials to be detected more easily, which could be used one day to develop novel logic elements for data processing.

Spin-ice materials possess unusual properties. For example, magnetic monopoles and antimonopoles can form within them in pairs connected via strings of magnetic elements. The physicists used computer simulations to show that such magnetic structures in artificial spin ice can be identified by characteristic oscillations in the microwave range. Like a fingerprint, the oscillations tell us about the occurrence of monopoles and their frequency in the sample being investigated. The oscillations can be initiated by exciting the samples using magnetic field pulses, for example, or laser pulses.

As the monopole structures can be selectively positioned and moved in the artificial spin ice, the researchers propose using them to design novel logic elements in which magnetic waves will flow instead of electric charges. The monopole structures in these logic elements would have a function similar to a breakwater, which controls the propagation of waves. Using techniques such as lithography, artificial spin-ice materials can be made up of engineered nanoscale areas that are small enough to function as single magnetic elements.

Original publication

Sebastian Gliga, Attila Kákay, Riccardo Hertel, Olle G. Heinonen; Spectral Analysis of Topological Defects in an Artificial Spin-Ice Lattice; PRL 110, 117205 (2013)

https://www.chemeurope.com/en/news/142895/looking-for-clues-in-spin-ice-spectral-fingerprint-of-magnetic-monopoles-discovered.html

Original publication

Sebastian Gliga, Attila Kákay, Riccardo Hertel, Olle G. Heinonen; Spectral Analysis of Topological Defects in an Artificial Spin-Ice Lattice; PRL 110, 117205 (2013)

Topics

magnets data processing computer simulations

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Organizations

Forschungszentrum Jülich