Moiré spintronics: Emergent phenomena, material realization and machine learning accelerating discovery

Twisted van der Waals (vdW) materials have emerged as a promising platform for exploring exotic quantum phenomena and engineering novel material properties in two dimensions, potentially revolutionizing developments in spintronics. This Review provides an overview of recent progress on emerging moiré spintronics in twisted vdW materials, with a particular focus on two-dimensional magnetic materials. Following a brief introduction to the general features of twisted vdW materials, we discuss recent theoretical and experimental studies on stacking-dependent interlayer magnetism, non-collinear spin textures, moiré magnetic exchange interactions, moiré skyrmions and moiré magnons. We further highlight the potential of machine learning to accelerate the discovery and design of multifunctional materials for moiré spintronics. Finally, we conclude by addressing the most pressing challenges and potential opportunities in this rapidly expanding field.

Publication Details

Journal
ArXiv.org
Published
2025-09-04
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Moiré spintronics: Emergent phenomena, material realization and machine learning accelerating discovery

ArXiv.org
Geochemistry and Geologic Mapping
article

Moiré spintronics: Emergent phenomena, material realization and machine learning accelerating discovery

article en

Abstract

Twisted van der Waals (vdW) materials have emerged as a promising platform for exploring exotic quantum phenomena and engineering novel material properties in two dimensions, potentially revolutionizing developments in spintronics. This Review provides an overview of recent progress on emerging moiré spintronics in twisted vdW materials, with a particular focus on two-dimensional magnetic materials. Following a brief introduction to the general features of twisted vdW materials, we discuss recent theoretical and experimental studies on stacking-dependent interlayer magnetism, non-collinear spin textures, moiré magnetic exchange interactions, moiré skyrmions and moiré magnons. We further highlight the potential of machine learning to accelerate the discovery and design of multifunctional materials for moiré spintronics. Finally, we conclude by addressing the most pressing challenges and potential opportunities in this rapidly expanding field.

ArXiv.org
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Geochemistry and Geologic Mapping
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