Low-dimensional electronic state at the surface of a transparent conductive oxide

Muntaser Naamneh, Eduardo B. Guedes, Abhinav Prakash, Henrique M. Cardoso, Ming Shi, Nicholas C. Plumb, Walber H. Brito, Bharat Jalan, Milan Radović

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Materials that blend physical properties that are usually mutually exclusive could facilitate devices with novel functionalities. For example, the doped perovskite alkaline earth stannates BaSnO3 and SrSnO3 show the intriguing combination of high light transparency and high electrical conductivity. Understanding such emergent physics requires deep insight into the materials’ electronic structures. Moreover, the band structure at the surfaces of those materials can deviate significantly from their bulk counterparts, thereby unlocking novel physical phenomena. Employing angle-resolved photoemission spectroscopy and ab initio calculations, we reveal the existence of a 2-dimensional metallic state at the SnO2-terminated surface of 1% La-doped BaSnO3 thin films. The observed surface state is characterized by a distinct carrier density and a lower effective mass compared to the bulk conduction band, of about 0.12me. These particular surface state properties place BaSnO3 among the materials suitable for engineering highly conductive transition metal oxide heterostructures.

Original languageEnglish (US)
Article number317
JournalCommunications Physics
Issue number1
StatePublished - Dec 2022

Bibliographical note

Funding Information:
M.N. was supported by the ISRAEL SCIENCE FOUNDATION (grant No. 2509/20). The work at Swiss Light Source was supported by SNSF Research Grant 200021_182695. The work at UMN was supported by the Air Force Office of Scientific Research (AFOSR) through Grant No. FA9550-21-1-0025. Parts of this work were carried out at the Minnesota Nano Center and Characterization Facility, the University of Minnesota, which receives support from NSF through the MRSEC program DMR-2011401. W.H.B. and H.M.C. acknowledge the Pró-Reitoria de Pesquisa of Universidade Federal de Minas Gerais, CNPq, and the National Laboratory for Scientific Computing (LNCC/MCTI, Brazil) for providing HPC resources of the SDumont supercomputer, http://sdumont.lncc.br . M.S. acknowledges support from the Swiss National Science Foundation (grant no. 200021-188413).

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© 2022, The Author(s).

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