Moir\'e spintronics: Emergent phenomena, material realization and machine learning accelerating discovery
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 moir\'e 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, moir\'e magnetic exchange interactions, moir\'e skyrmions and moir\'e magnons. We further highlight the potential of machine learning to accelerate the discovery and design of multifunctional materials for moir\'e spintronics. Finally, we conclude by addressing the most pressing challenges and potential opportunities in this rapidly expanding field.
Cite
@article{arxiv.2509.04045,
title = {Moir\'e spintronics: Emergent phenomena, material realization and machine learning accelerating discovery},
author = {Fengjun Zhuo and Zhenyu Dai and Kai Chang and Hongxin Yang and Zhenxiang Cheng},
journal= {arXiv preprint arXiv:2509.04045},
year = {2026}
}
Comments
31 pages, 8 figures; Comments are welcome!