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Cited by 493

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Chemical Vapor Deposition of Thin Crystals of Layered Semiconductor SnS2 for Fast Photodetection Application

Su, Guoxiong, Hadjiev, Viktor G., Loya, Phillip E., Zhang, Jing, Lei, Sidong, Maharjan, Surendra, Dong, Pei, M. Ajayan, Pulickel, Lou, Jun, Peng, Haibing·2015·Nano Letters

Abstract

Layered two-dimensional (2D) semiconductors, such as MoS(2) and SnS(2), have been receiving intensive attention due to their technological importance for the next-generation electronic/photonic applications. We report a novel approach to the controlled synthesis of thin crystal arrays of SnS(2) at predefined locations on chip by chemical vapor deposition with seed engineering and have demonstrated their application as fast photodetectors with photocurrent response time ∼ 5 μs. This opens a pathway for the large-scale production of layered 2D semiconductor devices, important for applications in integrated nanoelectronic/photonic systems.

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Metadata

Authors
Su, G., Hadjiev, V. G., Loya, P. E., Zhang, J., Lei, S., Maharjan, S., Dong, P., M. Ajayan, P., Lou, J., & Peng, H.
Venue
Nano Letters
Published
2014-12-15
Volume
15
Issue
1
Pages
506-513
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2315677603
Cited by
493
References
2
FWCI
15.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Chemical Vapor Deposition of Thin Crystals of Layered Semiconductor SnS2 for Fast Photodetection Application. https://app.cochat.ai/papers/10.1021/nl503857r
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Su, G., Hadjiev, V. G., Loya, P. E., Zhang, J., Lei, S., Maharjan, S., Dong, P., M. Ajayan, P., Lou, J., & Peng, H. (2015). Chemical Vapor Deposition of Thin Crystals of Layered Semiconductor SnS2 for Fast Photodetection Application. Nano Letters. https://doi.org/10.1021/nl503857r

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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.