High-mobility p-type semiconducting two-dimensional β-TeO2

A Zavabeti; P Aukarasereenont; H Tuohey; N Syed; A Jannat; A Elbourne; KA Messalea; BY Zhang; BJ Murdoch; JG Partridge; M Wurdack; DL Creedon; J van Embden; K Kalantar-Zadeh; SP Russo; CF McConville; T Daeneke

Journal article

High-mobility p-type semiconducting two-dimensional β-TeO2

A Zavabeti, P Aukarasereenont, H Tuohey, N Syed, A Jannat, A Elbourne, KA Messalea, BY Zhang, BJ Murdoch, JG Partridge, M Wurdack, DL Creedon, J van Embden, K Kalantar-Zadeh, SP Russo, CF McConville, T Daeneke

Nature Electronics | Published : 2021

DOI: 10.1038/s41928-021-00561-5

Abstract

Wide-bandgap oxide semiconductors are essential for the development of high-speed and energy-efficient transparent electronics. However, while many high-mobility n-type oxide semiconductors are known, wide-bandgap p-type oxides have carrier mobilities that are one to two orders of magnitude lower due to strong carrier localization near their valence band edge. Here, we report the growth of bilayer beta tellurium dioxide (β-TeO2), which has recently been proposed theoretically as a high-mobility p-type semiconductor, through the surface oxidation of a eutectic mixture of tellurium and selenium. The isolated β-TeO2 nanosheets are transparent and have a direct bandgap of 3.7 eV. Field-effect tr..

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University of Melbourne Researchers

Ali Zavabeti Author

Daniel Creedon Author

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Funding Acknowledgements

T.D. acknowledges funds received from the Australian Research Council (ARC) through the DECRA scheme (DE190100100). A.Z. thanks the University of Melbourne for the support received through the McKenzie postdoctoral fellowship programme. This work was supported by ARC Centre of Excellence FLEET (CE170100039) and Exciton Science (CE170100026). We thank RMIT University's Microscopy and Microanalysis Facility (RMMF), a linked laboratory of the Australian Microscopy and Microanalysis Research Facility (AMMRF), and RMIT University's MicroNano Research Facility (MNRF) for scientific and technical support. The Cypher ES AFM instrument was funded in part by grant no. LE170100096 from the ARC. This project was also supported by computational resources provided by the Australian government through the National Computational Infrastructure National Facility (NCI-NF) and the Pawsey Supercomputer Centre (ARC). A.E. is supported by the Jack Brockhoff Foundation (JBF grant no. 4655-2019-AE). D.L.C. is supported by the ARC under Discovery Project grant no. DP190102852.