Symmetry-enforced topological dirac semimetal for giant spin–orbit torque with ultralow power dissipation

Abstract Current-driven spin–orbit torque (SOT) enables electrical control of magnetization for next-generation memory and logic, but reducing switching current and power consumption is still a major challenge. Topological semimetals provide an attractive platform because they combine metallic conductivity with topological states that can efficiently generate spin currents. However, while most studied systems rely on accidental band inversions, the SOT response of symmetry-enforced Dirac semimetals remains largely unexplored. Here, we demonstrate that the nonsymmorphic symmetry-enforced Dirac semimetal hexagonal SrIrO3 exhibits record-high SOT efficiency. In-situ angle-resolved photoemission spectroscopy on high-quality epitaxial thin films directly confirmed the topological Dirac semimetal state, revealing bulk Dirac points near the Fermi level and spin-momentum locked surface states. Leveraging these synergistic features, we achieve a giant SOT efficiency of 2.26 and a substantial spin Hall conductivity of 0.96×105 (ħ/2e) Ω−1 m−1, enabling perpendicular magnetization switching at an exceptionally low current density of 5.9×105 A/cm2. Our findings establish symmetry-enforced topological semimetals as a robust materials platform for achieving superior charge-spin conversion, opening a pathway toward ultra-low-power spintronic devices.

Authors

Institutions

Publication Details

Journal
National Science Review
Published
2026-02-03
DOI
https://doi.org/10.1093/nsr/nwag077
Primary Topic
Topological Materials and Phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Symmetry-enforced topological dirac semimetal for giant spin–orbit torque with ultralow power dissipation

Yifan Sun, Keyi Wu, Xing‐Qiu Chen, Liguang Gong et al.
National Science Review
Topological Materials and Phenomena
article

Symmetry-enforced topological dirac semimetal for giant spin–orbit torque with ultralow power dissipation

Yifan Sun, Keyi Wu, Xing‐Qiu Chen, Liguang Gong, Zhiming Wang, R W Li, N. C. Plumb, Shouzhong Peng, Tao Tang, Xuejiao Chen, M. G. Shi, You-Guo Shi, Peitao Liu, Xianfeng Hao, Milan Radovic, Yamin Han, Xuan Zheng, Siyang Peng, Tao Wu, Bin Lao, Zhicheng Zhong
article en

Abstract

Abstract Current-driven spin–orbit torque (SOT) enables electrical control of magnetization for next-generation memory and logic, but reducing switching current and power consumption is still a major challenge. Topological semimetals provide an attractive platform because they combine metallic conductivity with topological states that can efficiently generate spin currents. However, while most studied systems rely on accidental band inversions, the SOT response of symmetry-enforced Dirac semimetals remains largely unexplored. Here, we demonstrate that the nonsymmorphic symmetry-enforced Dirac semimetal hexagonal SrIrO3 exhibits record-high SOT efficiency. In-situ angle-resolved photoemission spectroscopy on high-quality epitaxial thin films directly confirmed the topological Dirac semimetal state, revealing bulk Dirac points near the Fermi level and spin-momentum locked surface states. Leveraging these synergistic features, we achieve a giant SOT efficiency of 2.26 and a substantial spin Hall conductivity of 0.96×105 (ħ/2e) Ω−1 m−1, enabling perpendicular magnetization switching at an exceptionally low current density of 5.9×105 A/cm2. Our findings establish symmetry-enforced topological semimetals as a robust materials platform for achieving superior charge-spin conversion, opening a pathway toward ultra-low-power spintronic devices.

National Science Review
University of Nottingham Ningbo China (CN), Chinese Academy of Sciences (CN), Paul Scherrer Institute (CH), Suzhou University of Science and Technology (CN), Yanshan University (CN), Institute of Physics (CN), University of Chinese Academy of Sciences (CN), Ningbo Institute of Industrial Technology (CN), Zhejiang University (CN), Beihang University (CN)
Affordable and clean energy
Openalex Percentile: Top 66%
Topological Materials and Phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.