Magnetic Fields Created by Skyrmions

‘100 times better’ – Tiny magnetic vortices could transform high-performance computers

Magnetic fields created by skyrmions in a two-dimensional sheet of material composed of iron, germanium and tellurium. Credit: Argonne National Laboratory

Tiny magnetic vortices could revolutionize high-performance computer memory storage.

Magnets create invisible fields that attract certain materials. A familiar example is fridge magnets. However, they also play a vital role in storing data in computers. By exploiting the direction of the magnetic field (for example, up or down), the microscopic bar magnets can each store a bit of memory as a zero or a one, which is the basis of computer language.

Scientists at the US Department of Energy’s Argonne National Laboratory are working to replace these bar magnets with tiny magnetic vortices, known as skyrmions. These vortices, which are as small as billionths of a meter, form in certain magnetic materials and have the potential to usher in a new generation of microelectronics for memory storage in high-performance computers.

“Bar magnets in computer memory are like shoelaces tied with a single knot; it takes almost no energy to cancel them out,” said Arthur McCray, a Northwestern University graduate student who works in Argonne’s Materials Science Division (MSD). And any bar magnets malfunctioning due to interruptions will affect the others.

“In contrast, skyrmions are like shoelaces tied with a double knot. No matter how hard you pull on a strand, the laces stay tied.” Skyrmions are thus extremely stable to any disturbance. Another important feature is that scientists can control their behavior by changing the temperature or applying an electric current.

Changing Skyrmion groupings

Skyrmion clusters change from highly ordered to disordered with temperature from -92 F (204 kelvin) to -272 F (104 kelvin). Bright dots indicate order. Credit: Argonne National Laboratory

Scientists have a lot to learn about Skyrmion’s behavior under different conditions. To study them, the Argonne-led team developed an artificial intelligence (AI) program that works with a high-power electron microscope at the Center for Nanoscale Materials (CNM), a DOE Office of Science user facility at Argonne. The microscope can visualize skyrmions in samples at very low temperatures.

The team’s magnetic material is a mixture of iron, germanium and tellurium. In structure, this material is like a stack of paper with many sheets. A stack of such sheets contains many skyrmions, and a single sheet can be peeled off the top and analyzed at facilities such as the CNM.

“The CNM electron microscope coupled with a form of artificial intelligence called machine learning allowed us to visualize skyrmion sheets and their behavior at different temperatures,” said Yue Li, an MSD postdoc.

“Our most intriguing finding was that the skyrmions are arranged in a very ordered pattern at minus 60 degrees.[{” attribute=””>Fahrenheit and above,” said Charudatta Phatak, a materials scientist and group leader in MSD. ​“But as we cool the sample the skyrmion arrangement changes.” Like bubbles in beer foam, some skyrmions became larger, some smaller, some merge, and some vanish.

At minus 270, the layer reached a state of nearly complete disorder, but the order came back when the temperature returned to minus 60. This order-disorder transition with temperature change could be exploited in future microelectronics for memory storage.

“We estimate the skyrmion energy efficiency could be 100 to 1000 times better than current memory in the high-performance computers used in research,” McCray said.

Energy efficiency is essential to the next generation of microelectronics. Today’s microelectronics already account for a notable fraction of the world’s energy use and could consume nearly 25% within the decade. More energy-efficient electronics must be found.

“We have a way to go before skyrmions find their way into any future computer memory with low power,” Phatak said. ​“Nonetheless, this kind of radical new way of thinking about microelectronics is key to next-generation devices.”

Reference: “Thermal Hysteresis and Ordering Behavior of Magnetic Skyrmion Lattices” by Arthur R. C. McCray, Yue Li, Rabindra Basnet, Krishna Pandey, Jin Hu, Daniel P. Phelan, Xuedan Ma, Amanda K. Petford-Long and Charudatta Phatak, 21 September 2022, Nano Letters.
DOI: 10.1021/acs.nanolett.2c02275

The study was funded by the DOE Office of Basic Energy Sciences. The team’s machine learning program was run on supercomputing resources at the Argonne Leadership Computing Facility, a DOE Office of Science user facility.

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