Computational Materials Science2022,Vol.2035.DOI:10.1016/j.commatsci.2021.111109

Evaluation of oxygen-vacancy concentration through simulated hydrogen diffusion in amorphous In-Ga-Zn-O

Kim, Gyubong
Computational Materials Science2022,Vol.2035.DOI:10.1016/j.commatsci.2021.111109

Evaluation of oxygen-vacancy concentration through simulated hydrogen diffusion in amorphous In-Ga-Zn-O

Kim, Gyubong1
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作者信息

  • 1. Samsung Display Co
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Abstract

A multiscale approach is presented to calculate the hydrogen diffusion in amorphous In-Ga-Zn-O (a-IGZO). Based on the fact that the presence of oxygen vacancy (VO) defects suppresses the hydrogen diffusion in a-IGZO, the simulated H diffusion depth is utilized to evaluate the VO concentration (nVo). The kinetic Monte Carlo (kMC) simulation is carried out to obtain the depth profiles of H diffusion in a-IGZO, which uses input of the H migration energy barriers (EA) calculated within the density functional theory (DFT) method. The DFT calculations showed that when H occupies the VO defects, its EA becomes higher than that of the interstitial H, which eventually suppresses H diffusion. The H diffusion function depending on nVo and temperature, fD(nVo,T), is readily obtained fitting the complementary error function to the simulated H diffusion profile. It is observed that fD(nVo,T) can closely reproduce the experimentally measured H diffusion from literature with nVo being comparable to the measured carrier concentration that can be speculated as the upper limit of nVo. The properties of H diffusion in a-IGZO are examined in detail to address the application of the presented approach for estimation of nVo.

Key words

Oxide semiconductor/Multiscale calculation/First-principles calculation/Oxygen vacancy in a-IGZO/Calculation of oxygen vacancy concentration/Defect characteristics in a-IGZO/THIN-FILM TRANSISTORS/OXIDE SEMICONDUCTOR/POINTS/STATES

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量2
参考文献量48
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