Increased Efficiency of Current-Induced Motion of Chiral Domain Walls by Interface Engineering.
Yicheng GuanXilin ZhouTianping MaRobin BläsingHakan DenizSee-Hun YangStuart S P ParkinPublished in: Advanced materials (Deerfield Beach, Fla.) (2021)
Magnetic racetrack devices are promising candidates for next-generation memories. These spintronic shift-register devices are formed from perpendicularly magnetized ferromagnet/heavy metal thin-film systems. Data are encoded in domain wall magnetic bits that have a chiral Néel structure that is stabilized by an interfacial Dzyaloshinskii-Moriya interaction. The bits are manipulated by spin currents generated from electrical currents that are passed through the heavy metal layers. Increased efficiency of the current-induced domain wall motion is a prerequisite for commercially viable racetrack devices. Here, significantly increased efficiency with substantially lower threshold current densities and enhanced domain wall velocities is demonstrated by the introduction of atomically thin 4d and 5d metal "dusting" layers at the interface between the lower magnetic layer of the racetrack (here cobalt) and platinum. The greatest efficiency is found for dusting layers of palladium and rhodium, just one monolayer thick, for which the domain wall's velocity is increased by up to a factor of 3.5. Remarkably, when the heavy metal layer is formed from the dusting layer material alone, the efficiency is rather reduced by an order of magnitude. The results point to the critical role of interface engineering for the development of efficient racetrack memory devices.
Keyphrases
- heavy metals
- risk assessment
- health risk
- high glucose
- molecularly imprinted
- health risk assessment
- diabetic rats
- sewage sludge
- oxidative stress
- machine learning
- room temperature
- solar cells
- electronic health record
- drug induced
- high resolution
- capillary electrophoresis
- data analysis
- single molecule
- mass spectrometry
- blood flow
- molecular dynamics
- carbon nanotubes
- metal organic framework