Magnetic nanostructures show unexpected stability at ultrafast timescales

Researchers at Radboud University found magnetic domain walls are more stable than thought on femtosecond timescales, aiding faster data storage.

Magnetic nanostructures show unexpected stability at ultrafast timescales

Image: phys.org

For the first time, researchers have mapped how the boundaries of magnetic nanostructures behave on extremely short timescales. The work of physicist Johan Mentink of Radboud University shows that these boundaries are much more stable than previously thought, which could help develop faster data storage technologies.

The study, published in a peer-reviewed journal, used advanced laser techniques to observe magnetic domain walls—the boundaries between regions of different magnetization—on femtosecond timescales (one quadrillionth of a second). The team found that these walls remain stable even when subjected to ultrafast laser pulses, contrary to earlier assumptions that they would be easily disrupted.

This stability is crucial for spintronics, a technology that uses the spin of electrons rather than their charge to store and process data. Spintronic devices could potentially operate much faster than current electronics, but controlling magnetic structures at high speeds has been a challenge.

According to Mentink, the findings open new possibilities for designing magnetic memory and logic devices that can switch states in picoseconds or faster. The research was conducted at Radboud University's Institute for Molecules and Materials in Nijmegen, Netherlands.

❓ Frequently Asked Questions

What are magnetic domain walls?

Magnetic domain walls are boundaries between regions of different magnetization in a magnetic material.

How fast are femtosecond timescales?

A femtosecond is one quadrillionth of a second (10^-15 seconds), which is the timescale used in this study.

What is spintronics?

Spintronics is a technology that uses the spin of electrons, rather than their charge, to store and process data, potentially enabling faster and more efficient devices.

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