Effect of Hubbard U-corrections on the electronic and magnetic properties of 2D materials: a high-throughput study

IF 11.9 1区 材料科学 Q1 CHEMISTRY, PHYSICAL npj Computational Materials Pub Date : 2025-01-24 DOI:10.1038/s41524-024-01503-3
Sahar Pakdel, Thomas Olsen, Kristian S. Thygesen
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Abstract

We conduct a systematic investigation of the role of Hubbard U corrections in electronic structure calculations of two-dimensional (2D) materials containing 3d transition metals. Specifically, we use density functional theory (DFT) with the PBE and PBE+U approximations to calculate the crystal structure, band gaps, and magnetic parameters of 638 monolayers. Based on a comprehensive comparison to experiments we first establish that the inclusion of the U correction worsens the accuracy for the lattice constants. Consequently, PBE structures are used for subsequent property evaluations. The band gaps show a significant dependence on U. In particular, for 134 (21%) of the materials the U parameter induces a metal-to-insulator transition. For the magnetic materials we calculate the magnetic moment, magnetic exchange coupling, and magnetic anisotropy parameters. In contrast to the band gaps, the size of the magnetic moments shows only weak dependence on U. Both the exchange energies and magnetic anisotropy parameters are systematically reduced by the U correction. On this basis we conclude that the Hubbard U correction will lead to lower predicted Curie temperatures in 2D materials. All the calculated properties are available in the Computational 2D Materials Database (C2DB).

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Hubbard u校正对二维材料的电子和磁性能的影响:一项高通量研究
我们对含三维过渡金属的二维(2D)材料的电子结构计算中Hubbard U修正的作用进行了系统的研究。具体来说,我们使用密度泛函理论(DFT)与PBE和PBE+U近似来计算638单层的晶体结构,带隙和磁性参数。通过与实验的综合比较,我们首先确定了U修正的加入会降低晶格常数的精度。因此,PBE结构用于后续的属性评估。带隙对U有显著的依赖性,特别是134种(21%)材料的U参数诱导了金属到绝缘体的转变。对于磁性材料,我们计算了磁矩、磁交换耦合和磁各向异性参数。与带隙相比,磁矩的大小对U的依赖性较弱,U的修正系统地降低了交换能和磁各向异性参数。在此基础上,我们得出结论,Hubbard U修正将导致二维材料中较低的预测居里温度。所有计算出的属性都可以在Computational 2D Materials Database (C2DB)中找到。
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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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