Accurate and efficient prediction of Schottky barrier heights in 2D semimetal/silicon heterojunctions

The accurate prediction of the Schottky barrier height (SBH) holds significant importance for optimizing the performance of semimetal/semiconductor heterojunction devices. Two-dimensional semimetal/semiconductor heterostructures have now been extensively studied experimentally. However, first-principles predictions of the corresponding SBH typically require solving the ab initio Hamiltonian in supercells containing more than 10 3 atoms. This high computational complexity not only results in extremely low efficiency but also hinders the design and optimization of heterojunction devices. Herein, we apply density functional theory with a core-level energy alignment method for transition-metal-ditelluride semimetal/silicon junctions, which enables a reduction in supercell size by one order of magnitude. The predicted SBHs show excellent agreement with experiment. We further investigate different 2D semimetal compounds, finding that all candidates exhibit lower SBHs for holes than electrons, with thickness effects becoming negligible beyond three to five layers. This study presents an efficient framework for calculating SBH in complex heterostructures and provides theoretical guidance for the efficient design of high-performance 2D semimetal heterojunction devices. SBHs are predicted for semimetal/silicon junctions with a novel framework. The method reduces supercell size and aligns well with experimental results. All studied junctions show lower SBHs for holes, favoring hole transport behavior.

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Publication Details

Journal
Acta Physico-Chimica Sinica
Published
2025-03-14
DOI
https://doi.org/10.1016/j.actphy.2025.100078
Citations
1
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.52
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article

Accurate and efficient prediction of Schottky barrier heights in 2D semimetal/silicon heterojunctions

Xingzhan Wei, Wen Xiong, Zhuoqun Wen, Zhi Wang et al.
1 citations
Acta Physico-Chimica Sinica
Graphene research and applications
0.52
article

Accurate and efficient prediction of Schottky barrier heights in 2D semimetal/silicon heterojunctions

Xingzhan Wei, Wen Xiong, Zhuoqun Wen, Zhi Wang, Huilong Zhu
article en
1 citations

Abstract

The accurate prediction of the Schottky barrier height (SBH) holds significant importance for optimizing the performance of semimetal/semiconductor heterojunction devices. Two-dimensional semimetal/semiconductor heterostructures have now been extensively studied experimentally. However, first-principles predictions of the corresponding SBH typically require solving the ab initio Hamiltonian in supercells containing more than 10 3 atoms. This high computational complexity not only results in extremely low efficiency but also hinders the design and optimization of heterojunction devices. Herein, we apply density functional theory with a core-level energy alignment method for transition-metal-ditelluride semimetal/silicon junctions, which enables a reduction in supercell size by one order of magnitude. The predicted SBHs show excellent agreement with experiment. We further investigate different 2D semimetal compounds, finding that all candidates exhibit lower SBHs for holes than electrons, with thickness effects becoming negligible beyond three to five layers. This study presents an efficient framework for calculating SBH in complex heterostructures and provides theoretical guidance for the efficient design of high-performance 2D semimetal heterojunction devices. SBHs are predicted for semimetal/silicon junctions with a novel framework. The method reduces supercell size and aligns well with experimental results. All studied junctions show lower SBHs for holes, favoring hole transport behavior.

Acta Physico-Chimica SinicaVol. 41(7)
Chongqing University of Posts and Telecommunications (CN), Chinese Academy of Sciences (CN), Chongqing Institute of Green and Intelligent Technology (CN), Institute of Semiconductors (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 41%
Graphene research and applications
0.52
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