A new MultiSpin.AI publication presents research that could contribute to future multi-state magnetic memory and energy-efficient computing. The study was published in Applied Physics Letters and brings together researchers from Bar-Ilan University, INESC MN and Instituto Superior Técnico.
Connecting perpendicular magnetic states
The research investigates the antisymmetric planar Hall effect in tantalum/permalloy bilayers. Researchers observed a mechanism connecting in-plane magnetisation with perpendicular interfacial magnetisation. The effect works similarly to a mechanical miter gear, which transfers rotation between perpendicular directions. In this magnetic system, rotating the in-plane magnetisation can control a perpendicular magnetic moment at the interface. This behaviour creates an interesting pathway for controlling different magnetic states within future spintronic devices.
Why could this matter for magnetic memory?
Conventional magnetic memory approaches commonly work with two stable magnetic states. However, MultiSpin.AI investigates technologies that go beyond binary operation and enable multiple magnetic states. Therefore, new mechanisms for controlling magnetisation can provide important knowledge for future multi-state magnetic memory concepts. Such devices could eventually support new approaches to neuromorphic computing and energy-efficient artificial intelligence hardware. The research directly contributes to the wider MultiSpin.AI ambition of developing innovative multi-state magnetic devices for AI computing.
Research through European collaboration
The publication resulted from collaboration between researchers at Bar-Ilan University, INESC MN and Instituto Superior Técnico. The research team includes A. Ghosh, A. Zaig, D. B. C. Gonçalves, S. Cardoso and L. Klein. Their paper,“Antisymmetric planar Hall effect in Ta/Py bilayers – Evidence for perpendicular interfacial magnetization tuned by in-plane bulk magnetization,” appeared in Applied Physics Letters. The publication represents another scientific contribution from MultiSpin.AI towards understanding the magnetic mechanisms needed for future computing technologies.