journal article·2025-02-05Open access

Oxygen Incorporation as a Route to Nondegenerate Zinc Nitride Semiconductor Thin Films

Elise Sirotti, Bianca Scaparra, Stefan Böhm, Florian Pantle, Laura I. Wagner, Felix Rauh, Frans Munnik, Chang-Ming Jiang, Matthias Kuhl, Kai Müller, Johanna Eichhorn, Verena Streibel, Ian D. Sharp

Abstract

High Resolution Image Download MS PowerPoint Slide Zinc nitride (Zn 3 N 2 ) comprises earth-abundant elements, possesses a small direct bandgap, and is characterized by high electron mobility. While these characteristics make the material a promising compound semiconductor for various optoelectronic applications, including photovoltaics and thin-film transistors, it commonly exhibits unintentional degenerate n-type conductivity. This degenerate character has significantly impeded the development of Zn 3 N 2 for technological applications and is commonly assumed to arise from incorporation of oxygen impurities. However, consistent understanding and control of the role of native and impurity defects on the optoelectronic properties of this otherwise promising semiconductor have not yet emerged. Here, we systematically synthesize epitaxial Zn 3 N 2 thin films with controlled oxygen impurity concentrations of up to 20 at % by plasma-assisted molecular beam epitaxy (PA-MBE). Contrary to expectations, we find that oxygen does not lead to degenerate conductivity but instead serves as a compensating defect, the control of which can be used to achieve nondegenerate semiconducting thin films with free electron concentrations in the range of 10 17 cm –3, while retaining high mobilities in excess of 200 cm 2 V –1 s –1 . This understanding of the beneficial role of oxygen thus provides a route to controllably synthesize nondegenerate O-doped Zn 3 N 2 for optoelectronic applications.
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Research context

OpenAlex topics: Machine Learning in Materials Science · Semiconductor materials and devices · Electronic and Structural Properties of Oxides

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Walter Schottky Institute

Technical University of Munich

Physics Department, TUM School of Natural Sciences

TUM School of Computation, Information and Technology, and MCQST

Helmholtz-Zentrum Dresden-Rossendorf

Funding

Bundesministerium f?r Bildung und Forschung · Deutsche Forschungsgemeinschaft · Bayerische Akademie der Wissenschaften · Solar Technologies go Hybrid · H2020 European Research Council

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