Optimizing Density Functional Theory for Strain-Dependent Magnetic Properties of Monolayer MnBi$_2$Te$_4$ with Diffusion Monte Carlo
Abstract
Monolayer MnBiTe (MBT) is an intrinsically magnetic topological insulator whose magnetic response is strongly affected by strain and electron correlation. In density functional theory with an on-site Hubbard correction (DFT+), however, predictions vary substantially with the choice of Hubbard , making it difficult to establish a reliable strain-dependent picture of magnetism in this system. Here we use diffusion Monte Carlo (DMC) to benchmark DFT+ for monolayer MBT and to determine an effective as a function of strain. We find that the predicted magnetic phase diagram depends strongly on , indicating that a single fixed value is not sufficient across the strain range considered. DMC nodal optimization further shows that the optimal increases with strain magnitude and is well captured by a simple quadratic form. When this DMC-informed strain-dependent is used in PBE+, the calculated Mn local moments are brought into close agreement with DMC and are improved relative to commonly used fixed- choices. These results show that, for monolayer MBT, correlation strength itself should be treated as strain dependent, and they provide a practical many-body-guided strategy for improving strain-dependent DFT+ descriptions of magnetic van der Waals materials.
Keywords
Cite
@article{arxiv.2603.16162,
title = {Optimizing Density Functional Theory for Strain-Dependent Magnetic Properties of Monolayer MnBi$_2$Te$_4$ with Diffusion Monte Carlo},
author = {Jeonghwan Ahn and Swarnava Ghosh and Seoung-Hun Kang and Dameul Jeong and Markus Eisenbach and Young-Kyun Kwon and Fernando A. Reboredo and Jaron T. Krogel and Mina Yoon},
journal= {arXiv preprint arXiv:2603.16162},
year = {2026}
}
Comments
An updated version of arXiv:2408.03248