Spin dynamics of triple-Q magnetic orderings in a triangular lattice: Implications for multi-Q orderings in general two-dimensional lattices
Pyeongjae Park, Woonghee Cho, Chaebin Kim, Yeochan An, Kazuki Iida, Ryoichi Kajimoto, Sakib Matin, Shang-Shun Zhang, Cristian D. Batista, Je-Geun Park

TL;DR
This study demonstrates that analyzing spin wave velocities via inelastic neutron scattering can reliably distinguish topological triple-Q magnetic orderings from trivial single- or double-Q states in 2D triangular lattices, providing a universal diagnostic tool.
Contribution
It introduces a universal method based on spin dynamics to identify and differentiate multi-Q magnetic orders in 2D lattices, validated through experiments and simulations on a triangular lattice antiferromagnet.
Findings
Goldstone mode velocity anisotropy distinguishes single-Q and triple-Q phases.
The method is model-independent and applicable across various exchange parameters.
Experimental results agree with theoretical predictions, confirming the diagnostic's reliability.
Abstract
Multi-Q magnetic structures on two-dimensional (2D) lattices provide a key route to realizing topological physics in 2D magnetism. A major experimental challenge is to unambiguously confirm their formation by excluding the possibility of topologically trivial multi-domain single- or double-Q magnetic orders, which cannot be distinguished using conventional diffraction techniques. Here, we propose that long-wavelength spin dynamics offers a universal diagnostic for triangular lattices: triple-Q orders that preserve rotational symmetry and single- or double-Q orders that break it exhibit qualitatively distinct anisotropies in their Goldstone mode velocities, stemming from fundamental differences in their underlying spin configurations. We validate this concept using the metallic triangular lattice antiferromagnet CoTaS, which hosts both a stripe-type single-Q state and a…
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.
