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Study explains ultrafast demagnetization in freestanding strontium ruthenate films

A nanoscale gap at the film-substrate interface restricts heat flow and slows the recovery of magnetization.

Researchers from the Chinese Academy of Sciences and other institutions investigated ultrafast magnetic dynamics in freestanding SrRuO3 films. The films demagnetized in about 1 ps, while an interfacial nanogap slowed their magnetic recovery.

Source: Chinese Academy of Sciences

Scientific diagram of strontium ruthenate films and the nanoscale gap between a film and its substrate
A schematic of freestanding and epitaxial strontium ruthenate films and their interfaces. Illustrative photo. Photo: matthewsjackie / Pixabay, Pixabay Content License

Strontium ruthenate is ferromagnetic and has strong spin-orbit coupling, making it an important material for research into oxide spintronics. A team led by the Hefei Institutes of Physical Science of the Chinese Academy of Sciences studied ultrafast magnetization dynamics in freestanding SrRuO3 films.

The researchers prepared freestanding and epitaxial films about 20 nm thick and compared their ultrafast magnetic responses using time-resolved magneto-optical Kerr effect measurements. The freestanding film demagnetized in a single step within about 1 ps, while the epitaxial film showed a two-step process.

Analysis using a microscopic three-temperature model indicated that strain release reduces the magnetic moment. This made the demagnetization rate factor of the freestanding film about twice that of the epitaxial film.

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At the same time, a nanoscale gap at the interface beneath the freestanding film hindered heat transfer to the substrate. As a result, its magnetization recovered more slowly than that of the epitaxial film.

The findings reveal an interaction between spin dynamics and heat transport, providing experimental evidence for controlling ultrafast spin dynamics in oxide films. They may also inform strain engineering and interface design in flexible spintronic materials.

The study was published in Small. It was supported by China’s National Key Research and Development Program, the National Natural Science Foundation of China, and relevant Chinese Academy of Sciences projects.

Translated from Chinese using artificial intelligence. Source: Chinese Academy of Sciences

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