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Cited by 372

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Large-Area Synthesis of High-Quality Uniform Few-Layer MoTe2

Zhou, Lin, Xu, Kai, Zubair, Ahmad, Liao, Albert D., Fang, Wenjing, Ouyang, Fangping, Lee, Yi-Hsien, Ueno, Keiji, Saito, Riichiro, Palacios, Tomás, Kong, Jing, Dresselhaus, Mildred S.·2015·Journal of the American Chemical Society

Abstract

The controlled synthesis of large-area, atomically thin molybdenum ditelluride (MoTe2) crystals is crucial for its various applications based on the attractive properties of this emerging material. In this work, we developed a chemical vapor deposition synthesis to produce large-area, uniform, and highly crystalline few-layer 2H and 1T' MoTe2 films. It was found that these two different phases of MoTe2 can be grown depending on the choice of Mo precursor. Because of the highly crystalline structure, the as-grown few-layer 2H MoTe2 films display electronic properties that are comparable to those of mechanically exfoliated MoTe2 flakes. Our growth method paves the way for the large-scale application of MoTe2 in high-performance nanoelectronics and optoelectronics.

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Metadata

Authors
Zhou, L., Xu, K., Zubair, A., Liao, A. D., Fang, W., Ouyang, F., Lee, Y.-H., Ueno, K., Saito, R., Palacios, T., Kong, J., & Dresselhaus, M. S.
Venue
Journal of the American Chemical Society
Published
2015-09-09
Volume
137
Issue
37
Pages
11892-11895
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W1138016650
Cited by
372
References
21
FWCI
16.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Large-Area Synthesis of High-Quality Uniform Few-Layer MoTe2. https://app.cochat.ai/papers/10.1021/jacs.5b07452
The paper
Zhou, L., Xu, K., Zubair, A., Liao, A. D., Fang, W., Ouyang, F., Lee, Y.-H., Ueno, K., Saito, R., Palacios, T., Kong, J., & Dresselhaus, M. S. (2015). Large-Area Synthesis of High-Quality Uniform Few-Layer MoTe2. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.5b07452

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.