Saved in:
Bibliographic Details
Main Authors: Zhou, Chenxi, Guo, Zhe, Li, Qifeng, Zhang, Gaojie, Wu, Hao, Chen, Jinsen, Li, Rongxin, Zhang, Shuai, Cao, Cuimei, Xiong, Rui, Chang, Haixin, You, Long
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2412.18429
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910761975021568
author Zhou, Chenxi
Guo, Zhe
Li, Qifeng
Zhang, Gaojie
Wu, Hao
Chen, Jinsen
Li, Rongxin
Zhang, Shuai
Cao, Cuimei
Xiong, Rui
Chang, Haixin
You, Long
author_facet Zhou, Chenxi
Guo, Zhe
Li, Qifeng
Zhang, Gaojie
Wu, Hao
Chen, Jinsen
Li, Rongxin
Zhang, Shuai
Cao, Cuimei
Xiong, Rui
Chang, Haixin
You, Long
contents Spin orbit torque (SOT) has become a promising approach to efficiently manipulate the magnetization switching in spintronic devices. As a main factor to impact the device performance, the high quality interface is essentially desired, which can be readily acquired by using the two-dimensional (2D) van der Waals (vdW) materials. Recently, a 2D ferromagnetic material Fe3GaTe2 has been discovered to possess the above-room-temperature Curie temperature and strong perpendicular magnetic anisotropy (PMA), providing an excellent candidate to build spintronic devices. On the other hand, an external magnetic field is necessary for the SOT-driven deterministic switching of perpendicular magnetization, which has become a block for the real applications. Here, we realize the field-free SOT switching of Fe3GaTe2 at room temperature based on the Fe3GaTe2/MnPt heterostructure. In addition, inspired by the superiority of 2D materials in 3D heterogeneous integration, we explore the potential of our device in the computing in memory (CIM). With the application of the current pulses, the gradual switching of our device at zero field imitates the function of artificial synapse in the convolutional neural network (CNN), achieving a high accuracy (~92.8%) pattern recognition. Our work proposes a feasible solution for field-free SOT switching in 2D vdW spintronic devices, which paves the way for applications in magnetic memory and neuromorphic computing.
format Preprint
id arxiv_https___arxiv_org_abs_2412_18429
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Field-free current-induced magnetization switching of a room temperature van der Waals magnet for neuromorphic computing
Zhou, Chenxi
Guo, Zhe
Li, Qifeng
Zhang, Gaojie
Wu, Hao
Chen, Jinsen
Li, Rongxin
Zhang, Shuai
Cao, Cuimei
Xiong, Rui
Chang, Haixin
You, Long
Applied Physics
Spin orbit torque (SOT) has become a promising approach to efficiently manipulate the magnetization switching in spintronic devices. As a main factor to impact the device performance, the high quality interface is essentially desired, which can be readily acquired by using the two-dimensional (2D) van der Waals (vdW) materials. Recently, a 2D ferromagnetic material Fe3GaTe2 has been discovered to possess the above-room-temperature Curie temperature and strong perpendicular magnetic anisotropy (PMA), providing an excellent candidate to build spintronic devices. On the other hand, an external magnetic field is necessary for the SOT-driven deterministic switching of perpendicular magnetization, which has become a block for the real applications. Here, we realize the field-free SOT switching of Fe3GaTe2 at room temperature based on the Fe3GaTe2/MnPt heterostructure. In addition, inspired by the superiority of 2D materials in 3D heterogeneous integration, we explore the potential of our device in the computing in memory (CIM). With the application of the current pulses, the gradual switching of our device at zero field imitates the function of artificial synapse in the convolutional neural network (CNN), achieving a high accuracy (~92.8%) pattern recognition. Our work proposes a feasible solution for field-free SOT switching in 2D vdW spintronic devices, which paves the way for applications in magnetic memory and neuromorphic computing.
title Field-free current-induced magnetization switching of a room temperature van der Waals magnet for neuromorphic computing
topic Applied Physics
url https://arxiv.org/abs/2412.18429