Keywords: research reactor (90) technology transfer (48) spintronics (93) quantum materials (28) HZB own research (99)

Science Highlight    02.10.2018

Neutrons scan magnetic fields inside samples

Shown are the magnetic fluxlines inside a superconducting sample of lead in two different directions. The scale bar is 5 mm.
Copyright: HZB

With a newly developed neutron tomography technique, an HZB team has been able to map for the first time magnetic field lines inside materials at the BER II research reactor. Tensorial neutron tomography promises new insights into superconductors, battery electrodes, and other energy-related materials.

Measuring magnetic fields inside samples has only been possible indirectly up to now. Magnetic orientations can be scanned with light, X-rays, or electrons – but only on the surfaces of materials. Neutrons, on the other hand, penetrate deeply into the sample and thanks to their own magnetic orientation can provide precise information about the magnetic fields inside. So far, however, it has only been possible to roughly map the variously aligned magnetic domains using neutrons, but not the vector fields (directions and strengths) of the magnetic fields inside samples.

Spin polarisation is the key

A team led by Dr. Nikolay Kardjilov and Dr. Ingo Manke at the HZB has now developed a new method for measuring the magnetic field lines inside massive, thick samples: For tensorial neutron tomography, they employ spin filters, spin flippers, and spin polarisers that allow only neutrons with mutually aligned spins to penetrate the sample. When these spin-polarised neutrons encounter a magnetic field inside, the field excites the neutron spins to precess, so that the direction of the spin polarisation changes, allowing conclusions to be drawn about the field lines encountered.

3D image calculated with new TMART algorithm

The newly developed experimental method enables a three-dimensional image of the magnetic field inside the sample to be calculated using nine individual tomographic scans, each with a different neutron spin setting. A highly complex mathematical tensor algorithm was newly developed for this purpose by Dr. André Hilger at the HZB, christened TMART.

The experts tested and evaluated the new method on well-understood samples. Subsequently, they were able to map the complex magnetic field inside superconducting lead for the first time.

Flux lines inside superdonductors

The sample of solid, polycrystalline lead was cooled to 4 Kelvin (lead becomes superconducting below 7 Kelvin) and exposed to a magnetic field of 0.5 millitesla. Although the magnetic field is displaced from the interior of the sample due to the Meissner effect, magnetic flux lines nevertheless remain attached to the (non-superconducting) grain boundaries of the polycrystalline sample. These flux lines do not disappear even after the external field has been switched off, because they have previously induced currents inside the superconducting crystal grains, which now maintain these fields.

“For the first time, we can make the magnetic vector field visible in three dimensions in all its complexity within a massive material”, says HZB physicist Manke. “Neutrons can simultaneously penetrate massive materials and detect magnetic fields. There is currently no other method that can accomplish this.“

Applications from basic research to industry

Magnetic tensor tomography is non-destructive and can achieve resolutions down to the micrometer range. The areas of application are extremely diverse. They range from the mapping of magnetic fields in superconductors and the observation of magnetic phase transitions, to material analysis, which is also of great interest for industry: Field distributions in electric motors and metallic components can be mapped and current flows in batteries, fuel cells, or other propulsion systems can be visualized with this method.

Published in Nature Communications (2018): "Tensorial Neutron Tomography of Three-Dimensional Magnetic Vector Fields in Bulk Materials"; A. Hilger, I. Manke, N. Kardjilov, M. Osenberg, H. Markötter & J. Banhart; 

DOI: 10.1038/s41467-018-06593-4

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