Extraordinary efficient spin-orbit torque switching in (W, Ta)/epitaxial-Co60Fe40/TiN heterostructures
Nilamani Behera, Rahul Gupta, Sajid Husain, Vineet Barwal, Dinesh K., Pandya, Sujeet Chaudhary, Rimantas Brucas, Peter Svedlindh, and Ankit Kumar

TL;DR
This paper demonstrates highly efficient spin-orbit torque switching in epitaxial heterostructures with giant spin Hall angles and low switching currents, advancing energy-efficient spintronic devices.
Contribution
It reports unprecedented spin Hall angles and low switching currents in epitaxial (W, Ta)/CoFe/TiN heterostructures, highlighting the importance of epitaxial interfaces for spintronics.
Findings
Giant spin Hall angle of 28.67 in W-based structures.
Ultra-low switching current density of 1.82 MA/cm2 in W/CoFe/TiN.
High interfacial spin mixing conductance and low spin memory loss.
Abstract
The giant spin Hall effect in magnetic heterostructures along with low spin memory loss and high interfacial spin mixing conductance are prerequisites to realize energy efficient spin torque based logic devices. We report giant spin Hall angle (SHA) of 28.67 (5.09) for W (Ta) interfaced epi- Co60Fe40/TiN structures. The spin-orbit torque switching current density (J_Crit) is as low as 1.82 (8.21) MA/cm2 in W (Ta)/Co60Fe40(t_CoFe)/TiN structures whose origin lies in the epitaxial interfaces. These structures also exhibit very low spin memory loss and high spin mixing conductance. These extraordinary values of SHA and therefore ultra-low J_Crit in semiconducting industry compatible epitaxial materials combinations open up a new direction for the realization of energy efficient spin logic devices by utilizing epitaxial interfaces.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMagnetic properties of thin films · ZnO doping and properties · Advanced Memory and Neural Computing
