doi: 10.17586/2226-1494-2019-19-3-458-466


MODELING OF ZnO ELECTRONIC STRUCTURE FROM FIRST PRINCIPLES BY APPLYING ADVANCED FUNCTIONALS

I. I. Vrubel, N. Y. Senkevich, O. B. Prishchepenok, R. G. Polozkov, I. A. Shelykh, P. A. Rodnyi


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VrubelI.I., Senkevich N.Yu., Prishchepenok O.B., Polozkov R.G., ShelykhI.A., Rodnyi P.A. Modeling of ZnO electronicstructure from first principles by applying advanced functionals. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2019, vol. 19, no. 3, pp. 458–466 (in Russian). doi: 10.17586/2226-1494-2019-19-3-458-466



Abstract
Subject of Research. We have studied the electronic structure of wurzite zinc oxide (ZnO) by quantum mechanical modeling using density functional theory (DFT) approach with different exchange-correlation energy functionals. Methods. The calculations were performed by means of generalized gradient approximation (GGA), Hubbard corrected generalized gradient approximation (DFT+U method) and hybrid functional PBE0. Main Results. The calculations have demonstrated that the basic GGA approach renders ZnO electronic structure with essential disadvantages demonstrating overestimated hybridization of zinc 3d and oxygen 2p shells and significantly underestimated bandgap. The inaccuracy for the latter has been eliminated by using the PBE0 approach, which is highly computationally demanding and increases the complexity of the calculations. We have shown that the best results complying with the experiment are obtained by applying Hubbard correction to all atoms of unit cell. Practical Relevance. The study shows the necessity of Hubbard correction usage when calculating zinc oxide electronic structure with the parameter of on-site repulsion “U” applied to both Zn and O atoms. The physical aspects and details of all used approaches and their computational demands are discussed.

Keywords: ZnO, density functional theory, electronic structure, hybrid functional, Hubbard correction

Acknowledgements. This work was financially supported by the RFBR project No. 18-52-76002 and the Government of the Russian Federation (Grant 08-08).

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