Efficient Method for Prediction of Meta-stable/Ground Multipolar Ordered States and its Application in Monolayer $\alpha$-\ce{RuX3} (X=Cl,I)
Wen-Xuan Qiu, Jin-Yu Zou, Ai-Yun Luo, Zhi-Hai Cui, Zhi-Da Song,, Jin-Hua Gao, Yi-Lin Wang, Gang Xu

TL;DR
This paper introduces an efficient linear response method to predict multipolar orders in materials, successfully identifying stable magnetic octupolar states in monolayer -RuX3 compounds, aiding the search for hidden orders in correlated materials.
Contribution
It presents a novel computational approach based on linear response theory under RPA for predicting multipolar orders, demonstrated on monolayer -RuX3.
Findings
Predicted two pure meta-stable magnetic octupolar states in monolayer -RuCl3.
Demonstrated stabilization of octupolar states in monolayer -RuI3.
Identified a detectable orthogonal magnetization pattern associated with octupole moments.
Abstract
Exotic high-rank multipolar order parameters have been found to be unexpectedly active in more and more correlated materials in recent years. Such multipoles are usually dubbed as "Hidden Orders" since they are insensitive to common experimental probes. Theoretically, it is also difficult to predict multipolar orders via \textit{ab initio} calculations in real materials. Here, we present an efficient method to predict possible multipoles in materials based on linear response theory under random phase approximation. Using this method, we successfully predict two pure meta-stable magnetic octupolar states in monolayer -\ce{RuCl3}, which is confirmed by self-consistent unrestricted Hartree-Fock calculations. We then demonstrate that these octupolar states can be stabilized in monolayer -\ce{RuI3}, one of which becomes the octupolar ground state. Furthermore, we also predict…
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.
