25 January 2024 | Zhenyi Zheng, Tao Zeng, Tieyang Zhao, Shu Shi, Lizhu Ren, Tongtong Zhang, Lanxin Jia, Youdi Gu, Rui Xiao, Hengan Zhou, Qihan Zhang, Jiaqi Lu, Guilei Wang, Chao Zhao, Huihui Li, Beng Kang Tay, Jingsheng Chen
The study demonstrates the effective manipulation of antiferromagnetic order in the Weyl semimetal Mn3Sn using orbital torques (OTs) from either metal Mn or oxide CuOx. The critical switching current density is significantly reduced by inserting a heavy metal layer, such as Pt, which enhances the orbital-to-spin conversion efficiency. The memristor-like switching behavior of Mn3Sn mimics the potentiation and depression processes of a synapse with high linearity, making it suitable for constructing accurate artificial neural networks. The work paves the way for manipulating topological antiferromagnetic order and inspires more high-performance antiferromagnetic functional devices.The study demonstrates the effective manipulation of antiferromagnetic order in the Weyl semimetal Mn3Sn using orbital torques (OTs) from either metal Mn or oxide CuOx. The critical switching current density is significantly reduced by inserting a heavy metal layer, such as Pt, which enhances the orbital-to-spin conversion efficiency. The memristor-like switching behavior of Mn3Sn mimics the potentiation and depression processes of a synapse with high linearity, making it suitable for constructing accurate artificial neural networks. The work paves the way for manipulating topological antiferromagnetic order and inspires more high-performance antiferromagnetic functional devices.