Investigation of the spin-1 honeycomb antiferromagnet BaNi$_2$V$_2$O$_8$ with easy plane anisotropy
E. S. Klyushina, B. Lake, A. T. M. N. Islam, J. T. Park, A., Schneidewind, T. Guidi, E. A. Goremychkin, B. Klemke, M. M{\aa}nsson

TL;DR
This study comprehensively characterizes the magnetic excitations and anisotropies of the two-dimensional S=1 honeycomb antiferromagnet BaNi$_2$V$_2$O$_8$, revealing its highly two-dimensional nature and easy-plane anisotropy.
Contribution
The paper provides detailed experimental data and analysis of magnetic interactions and anisotropies in BaNi$_2$V$_2$O$_8$, establishing it as a candidate for studying vortex excitations and KT phenomena.
Findings
Magnetic excitation spectrum is dispersionless between layers and disperses within the plane.
First- and second-neighbor exchange interactions are antiferromagnetic with specified ranges.
Interplane coupling is four orders of magnitude weaker than intraplane interactions.
Abstract
The magnetic properties of the two-dimensional, S=1 honeycomb antiferromagnet BaNiVO have been comprehensively studied using DC susceptibility measurements and inelastic neutron scattering techniques. The magnetic excitation spectrum is found to be dispersionless within experimental resolution between the honeycomb layers, while it disperses strongly within the honeycomb plane where it consists of two gapped spin-wave modes. The magnetic excitations are compared to linear spin-wave theory allowing the Hamiltonian to be determined. The first- and second-neighbour magnetic exchange interactions are antiferromagnetic and lie within the ranges 10.90meVJ13.35 meV and 0.85meVJ1.65 meV respectively. The interplane coupling J is four orders of magnitude weaker than the intraplane interactions, confirming the highly two-dimensional magnetic…
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.
