DMRG and Monte Carlo studies of $\textrm{CrI}_3$ magnetic phases and the phase transition
Bartosz Rzepkowski, Micha{\l} Kupczy\'nski, Pawe{\l} Potasz, Arkadiusz, W\'ojs

TL;DR
This study combines DMRG and Monte Carlo methods to analyze the magnetic phases and phase transition of monolayer CrI3, providing insights into correlation effects and accurately estimating the Curie temperature.
Contribution
It introduces a combined DMRG and Monte Carlo approach to model CrI3's magnetic behavior and accurately predicts its Curie temperature.
Findings
Magnetic ordering can be approximated by classical models across a range of anisotropy.
Estimated Curie temperature of 49.7 K aligns well with experimental data.
Correlation effects are significant in understanding CrI3's magnetic phases.
Abstract
The monolayer of has been reported to exhibit the ferromagnetic order, with a Curie temperature of and off-plane easy axis, which has attracted much attention in the community of condensed matter physics. Using the Density Matrix Renormalization Group method, we investigate the role of correlation effects and using classical Monte Carlo simulations analyze the nature of phase transitions in the XXZ Hamiltonian on a honeycomb lattice, which can effectively model . We show, that the magnetic ordering of the Hamiltonian's ground state can be well approximated by classical models in a wide range of an anisotropy parameter space. Using classical Monte Carlo simulations we estimate the Curie temperature of which is in good agreement with experimental result.
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
Topics2D Materials and Applications · Machine Learning in Materials Science · Magnetic and transport properties of perovskites and related materials
