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  5. Emergent magnetic states and tunable exchange bias at all 3d nitride heterointerfaces

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Preprint
en
2022

Emergent magnetic states and tunable exchange bias at all 3d nitride heterointerfaces

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en
2022
DOI: 10.48550/arxiv.2209.05209arxiv.org/abs/2209.05209

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Lin Gu
Lin Gu

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Qiao Jin
Qinghua Zhang
He Bai
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Abstract

Interfacial magnetism stimulates the discovery of giant magnetoresistance and spin-orbital coupling across the heterointerfaces, facilitating the intimate correlation between spin transport and complex magnetic structures. Over decades, functional heterointerfaces composed of nitrides are seldomly explored due to the difficulty in synthesizing high-quality and correct composition nitride films. Here we report the fabrication of single-crystalline ferromagnetic Fe3N thin films with precisely controlled thickness. As film thickness decreasing, the magnetization deteriorates dramatically, and electronic state transits from metallic to insulating. Strikingly, the high-temperature ferromagnetism maintains in a Fe3N layer with a thickness down to 2 u. c. (~ 8 Å). The magnetoresistance exhibits a strong in-plane anisotropy and meanwhile the anomalous Hall resistance reserves its sign when Fe3N layer thickness exceeds 5 u. c. Furthermore, we observe a sizable exchange bias at the interfaces between a ferromagnetic Fe3N and an antiferromagnetic CrN. The exchange bias field and saturation moment strongly depend on the controllable bending curvature using cylinder diameter engineering (CDE) technique, implying the tunable magnetic states under lattice deformation. This work provides a guideline for exploring functional nitride films and applying their interfacial phenomena for innovative perspectives towards the practical applications.

How to cite this publication

Qiao Jin, Qinghua Zhang, He Bai, Amanda Huon, Timothy Charlton, Shengru Chen, Shan Lin, Haitao Hong, Ting Cui, Can Wang, Haizhong Guo, Lin Gu, Tao Zhu, M. R. Fitzsimmons, Kuijuan Jin, Shanmin Wang, Er‐Jia Guo (2022). Emergent magnetic states and tunable exchange bias at all 3d nitride heterointerfaces. , DOI: https://doi.org/10.48550/arxiv.2209.05209.

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Publication Details

Type

Preprint

Year

2022

Authors

17

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.48550/arxiv.2209.05209

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