Bias-controlled multistate spintronics with giant TMR and polarity switch via localized spin states in 2D half-metals
The relentless downscaling of integrated circuit systems imposes critical demands on spintronic technologies, particularly requiring superior storage density and efficient tunability beyond conventional magnetic-field approaches. A notable challenge persists in realizing multistate spintronic devices with electrical control at nanoscale. Here, we propose a breakthrough strategy for achieving bias-controlled giant tunneling magnetoresistance (TMR) for multistate memory applications. Our design uses two-dimensional (2D) half-metals hosting strongly localized spin states (LSSs) at the Fermi level as two ferromagnet layers in magnetic tunnel junctions (MTJs). Multiple memory states emerge from bias-driven alignment/misalignment of LSSs on two sides, generating sudden tunneling pathway changes and distinguishable TMR. First-principles quantum transport simulations on MTJs based on 2D VCl<sub>3</sub> and FeCl<sub>2</sub> reveal unprecedented bias-controlled and widely modulable TMR ratios spanning -194 to 2677% and -130 to 37,424%, respectively, accompanied by rare polarity switch capabilities. Our work opens a promising route for realizing electrical control of multistate spintronics.
Authors
- Chuyao Chen
- Jialin Yang (ORCID: https://orcid.org/0009-0008-2213-695X)
- Feng Xu (ORCID: https://orcid.org/0000-0001-5802-7925)
- Erjun Kan (ORCID: https://orcid.org/0000-0003-0433-4190)
- Bin Cheng (ORCID: https://orcid.org/0000-0002-2932-4370)
- Chen Pan (ORCID: https://orcid.org/0000-0003-1739-7254)
- Haibo Zeng (ORCID: https://orcid.org/0000-0002-0281-3617)
- Xi Chen (ORCID: https://orcid.org/0000-0001-6141-7326)
- Shengli Zhang (ORCID: https://orcid.org/0000-0003-4981-231X)
Institutions
- Nanjing University of Science and Technology (CN)
Publication Details
- Journal
- Science Advances
- Published
- 2025-11-28
- DOI
- https://doi.org/10.1126/sciadv.adz1524
- Primary Topic
- 2D Materials and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00