Proximity‐Induced Superconducting Diode Effect in Antiferromagnetic Mott Insulator α‐RuCl<sub>3</sub>

Abstract The superconducting diode effect (SDE), a hallmark of nonreciprocal superconductivity, unveils a rich ore of intriguing physical properties and applications. SDE has been discovered in some unconventional superconductors, but remains underexplored in heterostructures. Here, a van der Waals heterostructure of magnetic Mott insulator α‐RuCl 3 and superconductor NbSe 2 is engineered to induce SDE via proximity‐driven superconducting correlations. Transport measurements reveal an induced superconducting gap (0.2 meV) in α‐RuCl 3 , which is significantly smaller than the intrinsic gap of NbSe 2 (1.2 meV). Upon the application of a weak out‐of‐plane magnetic field below 70 mT, an asymmetry in the critical currents under positive and negative applied currents is observed. In particular, under a positive field of 3 mT, the negative critical current I c − is 774 µA, whereas the positive critical current I c + is 567 µA, resulting in a maximum superconducting diode efficiency Q of ≈15.4%. The field‐direction selectivity implicates Ising‐type spin‐orbit coupling as the symmetry‐breaking mechanism. This work establishes a platform for designing SDE in artificially stacked 2D materials, advancing prospects for superconducting spintronics.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-05-02
DOI
https://doi.org/10.1002/adfm.202504056
Citations
1
Primary Topic
Advanced Condensed Matter Physics
Type
article
Field-Weighted Citation Impact
1.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proximity‐Induced Superconducting Diode Effect in Antiferromagnetic Mott Insulator α‐RuCl3

Kejing Ran, Xiang Zhou, Takashi Taniguchi, Peng Dong et al.
1 citations
Advanced Functional Materials
Advanced Condensed Matter Physics
1.26
article

Proximity‐Induced Superconducting Diode Effect in Antiferromagnetic Mott Insulator α‐RuCl3

Kejing Ran, Xiang Zhou, Takashi Taniguchi, Peng Dong, Yan‐Jiang Wang, Kecheng Cao, Yifan Ding, Yueshen Wu, Kenji Watanabe, Jinsheng Wen, Jun Li, Jian‐Xin Li, Yiwen Zhang, Jinghui Wang, Jiadian He, Shunli Yu, Yulin Chen, Xiaohui Zeng
article en
1 citations

Abstract

Abstract The superconducting diode effect (SDE), a hallmark of nonreciprocal superconductivity, unveils a rich ore of intriguing physical properties and applications. SDE has been discovered in some unconventional superconductors, but remains underexplored in heterostructures. Here, a van der Waals heterostructure of magnetic Mott insulator α‐RuCl 3 and superconductor NbSe 2 is engineered to induce SDE via proximity‐driven superconducting correlations. Transport measurements reveal an induced superconducting gap (0.2 meV) in α‐RuCl 3 , which is significantly smaller than the intrinsic gap of NbSe 2 (1.2 meV). Upon the application of a weak out‐of‐plane magnetic field below 70 mT, an asymmetry in the critical currents under positive and negative applied currents is observed. In particular, under a positive field of 3 mT, the negative critical current I c − is 774 µA, whereas the positive critical current I c + is 567 µA, resulting in a maximum superconducting diode efficiency Q of ≈15.4%. The field‐direction selectivity implicates Ising‐type spin‐orbit coupling as the symmetry‐breaking mechanism. This work establishes a platform for designing SDE in artificially stacked 2D materials, advancing prospects for superconducting spintronics.

Advanced Functional MaterialsVol. 35(42)
Chongqing University (CN), National Institute for Materials Science (JP), ShanghaiTech University (CN), University of Oxford (GB), Collaborative Innovation Center of Advanced Microstructures (CN), Nanjing University (CN)
Ministry of Education, Culture, Sports, Science and Technology, National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Science and Technology Commission of Shanghai Municipality
Openalex Percentile: Top 22%
Advanced Condensed Matter Physics
1.26
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.