Spin-torque memristors based on perpendicular magnetic tunnel junctions with a hybrid chiral texture
Xueying Zhang, Wenlong Cai, Mengxing Wang, Kaihua Cao, Tianrui Zhang,, Houyi Cheng, Shaoxin Li, Daoqian Zhu, Weisheng Zhao

TL;DR
This paper demonstrates a nanoscale spin-torque memristor based on perpendicular magnetic tunnel junctions with high magnetoresistance and stable memristive states, enabling applications in neuromorphic computing.
Contribution
The work introduces a novel spin-torque memristor with a hybrid chiral texture, combining high magnetoresistance and stable intermediate states in a perpendicular-anisotropy structure.
Findings
Tunneling magnetoresistance exceeds 200%.
Memristive behavior achieved via spin-transfer torque switching.
Spike-timing-dependent plasticity demonstrated.
Abstract
Spin-torque memristors were proposed in 2009, which could provide fast, low-power and infinite memristive behavior for large-density non-volatile memory and neuromorphic computing. However, the strict requirements of combining high magnetoresistance, stable intermediate states and spin-polarized current switching in a single device pose difficulties in physical implementation. Here, we experimentally demonstrate a nanoscale spin-torque memristor based on a perpendicular-anisotropy magnetic tunnel junction with a CoFeB/W/CoFeB composite free layer structure. Its tunneling magnetoresistance is higher than 200%, and memristive behavior can be realized by spin-transfer torque switching. Memristive states are maintained by robust domain wall pinning around clusters of W atoms, where nanoscale vertical chiral spin textures could be formed through the competition between opposing…
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Taxonomy
TopicsMagnetic properties of thin films · Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices
