Field-free spin-orbit torque-induced switching of perpendicular magnetization in a ferrimagnetic layer with a vertical composition gradient.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
27 Jul 2021
Historique:
received: 01 01 2021
accepted: 09 07 2021
entrez: 28 7 2021
pubmed: 29 7 2021
medline: 29 7 2021
Statut: epublish

Résumé

Current-induced spin-orbit torques (SOTs) are of interest for fast and energy-efficient manipulation of magnetic order in spintronic devices. To be deterministic, however, switching of perpendicularly magnetized materials by SOT requires a mechanism for in-plane symmetry breaking. Existing methods to do so involve the application of an in-plane bias magnetic field, or incorporation of in-plane structural asymmetry in the device, both of which can be difficult to implement in practical applications. Here, we report bias-field-free SOT switching in a single perpendicular CoTb layer with an engineered vertical composition gradient. The vertical structural inversion asymmetry induces strong intrinsic SOTs and a gradient-driven Dzyaloshinskii-Moriya interaction (g-DMI), which breaks the in-plane symmetry during the switching process. Micromagnetic simulations are in agreement with experimental results, and elucidate the role of g-DMI in the deterministic switching processes. This bias-field-free switching scheme for perpendicular ferrimagnets with g-DMI provides a strategy for efficient and compact SOT device design.

Identifiants

pubmed: 34315883
doi: 10.1038/s41467-021-24854-7
pii: 10.1038/s41467-021-24854-7
pmc: PMC8316453
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4555

Subventions

Organisme : China Scholarship Council (CSC)
ID : 201906020022
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 61971024
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 51901008
Organisme : European Cooperation in Science and Technology (COST)
ID : CA17123
Organisme : European Cooperation in Science and Technology (COST)
ID : CA17123
Organisme : European Cooperation in Science and Technology (COST)
ID : CA17123
Organisme : National Science Foundation (NSF)
ID : NSF ECCS-1853879
Organisme : National Science Foundation (NSF)
ID : NSF DMR-1720319
Organisme : National Science Foundation (NSF)
ID : NSF ECCS-1542205

Informations de copyright

© 2021. The Author(s).

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Auteurs

Zhenyi Zheng (Z)

Fert Beijing Research Institute, School of Integrated Circuit Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, PR China.
Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.
School of Electronics and Information Engineering, Beihang University, Beijing, PR China.

Yue Zhang (Y)

Fert Beijing Research Institute, School of Integrated Circuit Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, PR China. yz@buaa.edu.cn.

Victor Lopez-Dominguez (V)

Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.

Luis Sánchez-Tejerina (L)

Department of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences, University of Messina, Messina, Italy.

Jiacheng Shi (J)

Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA.

Xueqiang Feng (X)

Fert Beijing Research Institute, School of Integrated Circuit Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, PR China.

Lei Chen (L)

Fert Beijing Research Institute, School of Integrated Circuit Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, PR China.

Zilu Wang (Z)

Fert Beijing Research Institute, School of Integrated Circuit Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, PR China.

Zhizhong Zhang (Z)

Fert Beijing Research Institute, School of Integrated Circuit Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, PR China.

Kun Zhang (K)

Fert Beijing Research Institute, School of Integrated Circuit Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, PR China.

Bin Hong (B)

Fert Beijing Research Institute, School of Integrated Circuit Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, PR China.

Yong Xu (Y)

Fert Beijing Research Institute, School of Integrated Circuit Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, PR China.

Youguang Zhang (Y)

School of Electronics and Information Engineering, Beihang University, Beijing, PR China.

Mario Carpentieri (M)

Dipartimento di Ingegneria Elettrica e dell'Informazione, Politecnico di Bari, Bari, Italy.

Albert Fert (A)

Fert Beijing Research Institute, School of Integrated Circuit Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, PR China.
Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay, Palaiseau, France.

Giovanni Finocchio (G)

Department of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences, University of Messina, Messina, Italy. gfinocchio@unime.it.

Weisheng Zhao (W)

Fert Beijing Research Institute, School of Integrated Circuit Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, PR China. weisheng.zhao@buaa.edu.cn.

Pedram Khalili Amiri (P)

Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, USA. pedram@northwestern.edu.

Classifications MeSH