Wang Richard B, Hellman Anders
Department of Physics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden.
J Phys Condens Matter. 2018 Jul 11;30(27):275002. doi: 10.1088/1361-648X/aac743. Epub 2018 May 23.
Hematite (α-FeO) is the most stable and abundant iron oxide in nature, and is used in many important environmental and industrial technologies, such as waste-water treatment, gas sensors, and photoelectrocatalysis. A clear understanding of the structure, composition, and chemistry of the hematite surface is crucial for improving its function in these technologies. Here we employ density functional theory (DFT) together with the DFT+U approach using semi-local functionals, as well as hybrid functionals, to study the structure, stability, and electronic properties of the (0 0 0 1) surface exposed to oxygen, hydrogen, or water. The use of hybrid functionals allow for a description of strong correlation without the need for atom-specific empirical parameters (i.e. U). However, we find that PBE+U, and in part also PBE, give similar results as the hybrid functional HSE(12%) in terms of structure optimization. When it comes to stability, work function, as well as electronic structure, the results are sensitive to the choice of functionals, but we cannot judge which level of functional is most appropriate due to the lack of experimental observations.
赤铁矿(α-Fe₂O₃)是自然界中最稳定且含量丰富的氧化铁,被应用于许多重要的环境和工业技术中,如废水处理、气体传感器和光电催化。清晰了解赤铁矿表面的结构、组成和化学性质对于提升其在这些技术中的功能至关重要。在此,我们采用密度泛函理论(DFT)以及使用半局域泛函和杂化泛函的DFT+U方法,来研究暴露于氧气、氢气或水的(0 0 0 1)表面的结构、稳定性和电子性质。杂化泛函的使用无需特定原子的经验参数(即U)就能描述强关联。然而,我们发现PBE+U以及部分情况下的PBE在结构优化方面给出的结果与杂化泛函HSE(12%)相似。在稳定性、功函数以及电子结构方面,结果对泛函的选择很敏感,但由于缺乏实验观测,我们无法判断哪种泛函水平最为合适。