High Entropy Engineering of Magnetic Kagome Lattice (Gd,Tb,Dy,Ho,Er)Mn6Sn6
Wenhao Liu, Nikhil Uday Dhale, Youzhe Chen, Pramanand Joshi, Zixin Zhai, Xiqu Wang, Ping Liu, Robert J. Birgeneau, Boris Maiorov, Christopher A. Mizzi, Bing Lv

TL;DR
This study explores how high entropy alloying in magnetic kagome lattice compounds (Gd,Tb,Dy,Ho,Er)Mn6Sn6 influences their magnetic and electronic properties, revealing multiple magnetic transitions, persistent magnetoresistance, and maintained topological features.
Contribution
It introduces high entropy alloying as a novel method to tune magnetic and topological properties in kagome lattice materials, demonstrating new magnetic phenomena and electronic behavior.
Findings
Multiple magnetic transitions induced by temperature and magnetic fields.
Linear magnetoresistance observed up to 20 T at 4 K.
Intrinsic anomalous Hall effect indicating nontrivial band topology.
Abstract
The magnetic kagome lattice compound RMn6Sn6 (R=rare earth) is an emerging platform to exploit the interplay between magnetism and topological electronic states where a variety of exciting findings such as flat bands, Dirac points as well as the dramatic dependence of magnetic order on the rare-earth element have been reported. High entropy through rare earth alloying, on the other hand, provides another knob to control over the physical properties in this system. Here, by the marriage of high entropy and the magnetic kagome lattice, we obtain (Gd,Tb,Dy,Ho,Er)Mn6Sn6 single crystals and systematically investigate their magnetic and transport properties. Different from the parent phases, the high entropy 166 material displays multiple novel magnetic transitions induced by temperature and external magnetic fields. Furthermore, linear magnetoresistance persisting up to 20 T has been…
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.
