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  5. Giant field-tunable nonlinear Hall effect by Lorentz skew scattering in a graphene moire superlattice

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Preprint
2025

Giant field-tunable nonlinear Hall effect by Lorentz skew scattering in a graphene moire superlattice

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English
2025
DOI: 10.48550/arxiv.2511.03381arxiv.org/abs/2511.03381

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Kenji Watanabe
Kenji Watanabe

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Pan He
Min Zhang
Yue-Xin Huang
+13 more

Abstract

The nonlinear Hall effect (NHE) can enable rectification and energy harvesting, and its control by external fields, including gate, strain and magnetic field, has been pursued intensively. However, existing tuning pathways rely predominantly on fully quantum mechanical effects and are typically inefficient, resulting in weak NHE signals that limit further progress. In this work, we report the discovery of a distinct type of NHE in a graphene-hBN moire superlattice, which arises from a classical-quantum cooperative effect called Lorentz skew scattering (LSK), induced by a perpendicular magnetic field. This field-driven NHE exhibits a linear dependence on magnetic field and a pronounced unidirectional angular dependence. Remarkably, its magnitude reaches up to 32% of the linear Hall signal. We show that this giant, field-tunable NHE originating from LSK follows a unique quartic scaling law and produces a record-high nonlinear Hall conductivity (36000 μmV-1Ω-1) near van Hove singularities of moire minibands, which is over an order of magnitude larger than all previously reported NHEs. Our findings establish an efficient, magnetic-field-driven route to giant Hall rectification in high-mobility materials, offering a broadly applicable paradigm for modulating the NHE beyond electrostatic gating.

How to cite this publication

Pan He, Min Zhang, Yue-Xin Huang, Jingru Li, Ruibo Wang, S. P. Zhao, Chang Pan, Yuxiao Gao, Takashi Taniguchi, Kenji Watanabe, Junxiong Hu, Yinyan Zhu, Cong Xiao, X. C. Xie, Shengyuan A. Yang, Jian Shen (2025). Giant field-tunable nonlinear Hall effect by Lorentz skew scattering in a graphene moire superlattice. , DOI: https://doi.org/10.48550/arxiv.2511.03381.

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Publication Details

Type

Preprint

Year

2025

Authors

16

Datasets

0

Total Files

0

DOI

https://doi.org/10.48550/arxiv.2511.03381

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