Systematic DFT+U and Quantum Monte Carlo benchmark of magnetic two-dimensional (2D) CrX$_3$ (X = I, Br, Cl, F)
Daniel Wines, Kamal Choudhary, Francesca Tavazza

TL;DR
This paper develops a combined DFT+U and Quantum Monte Carlo workflow to accurately predict magnetic properties and critical temperatures of 2D CrX3 materials, improving understanding of their electron correlations.
Contribution
It introduces a novel workflow integrating DFT+U and DMC methods to study 2D magnetic systems, providing more reliable estimates of critical temperatures.
Findings
Estimated T_c of 43.56 K for CrI3
Estimated T_c of 20.78 K for CrBr3
Analyzed spin densities and magnetic properties with DMC and DFT+U
Abstract
The search for two-dimensional (2D) magnetic materials has attracted a great deal of attention because of the experimental synthesis of 2D CrI, which has a measured Curie temperature of 45 K. Often times, these monolayers have a higher degree of electron correlation and require more sophisticated methods beyond density functional theory (DFT). Diffusion Monte Carlo (DMC) is a correlated electronic structure method that has been demonstrated successful for calculating the electronic and magnetic properties of a wide variety of 2D and bulk systems, since it has a weaker dependence on the Hubbard parameter (U) and density functional. In this study we designed a workflow that combines DFT+U and DMC in order to treat 2D correlated magnetic systems. We chose monolayer CrX (X = I, Br, Cl, F), with a stronger focus on CrI and CrBr, as a case study due to the fact that they have…
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Taxonomy
TopicsHeusler alloys: electronic and magnetic properties · 2D Materials and Applications · Machine Learning in Materials Science
