Giant Dzyaloshinskii-Moriya interaction and ratchet motion of bimeronic excitations in two-dimensional magnets
Shunhong Zhang, Xiaoyin Li, Huisheng Zhang, Ping Cui, Xiaohong Xu, and, Zhenyu Zhang

TL;DR
This paper demonstrates how giant Dzyaloshinskii-Moriya interaction in 2D magnets enables the formation and unidirectional motion of bimeronic excitations, advancing potential spintronic and memory device applications.
Contribution
It introduces a new compositional engineering method to induce giant DMI in 2D magnets and reveals the ratchet motion of bimeronic excitations.
Findings
Giant DMI achieved in CrMnI6 2D magnet via symmetry breaking.
Bimeronic excitations can be generated and exhibit unidirectional propagation.
Potential for racetrack memory applications with controlled topological excitations.
Abstract
Topological magnetic excitations rooted in Dzyaloshinskii-Moriya interaction (DMI) are promising information carriers for next-generation memory and spintronic devices. The recently discovered two-dimensional (2D) magnets provide fertile new platforms for revealing rich physical phenomena with atomic-scale precision, as exemplified by the enhanced DMI associated with an effective electric field that breaks the inversion symmetry. Here we use first-principles calculations to establish a conceptually difierent compositional engineering approach to induce giant DMI in a representative CrMnI 2D magnet, and the underlying mechanism is rooted in the spontaneous inversion symmetry breaking in the bipartite system. Using atomistic magnetics simulations, we further reveal that bimeronic excitations can emerge upon cooling a spin random state or perturbing a ferromagnetic state. Strikingly,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMagnetic properties of thin films · Advanced Memory and Neural Computing · Advanced Condensed Matter Physics
