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Cited by 283

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

Graphene‐Contacted Ultrashort Channel Monolayer MoS2 Transistors

Xie, Li, Liao, Mengzhou, Wang, Shuopei, Yu, Hua, Du, Luojun, Tang, Jian, Zhao, Jing, Zhang, Jing, Chen, Peng, Lu, Xiaobo, Wang, Guole, Xie, Guibai, Yang, Rong, Shi, Dongxia, Zhang, Guangyu·2017·Advanced Materials

Abstract

2D semiconductors are promising channel materials for field‐effect transistors (FETs) with potentially strong immunity to short‐channel effects (SCEs). In this paper, a grain boundary widening technique is developed to fabricate graphene electrodes for contacting monolayer MoS 2. FETs with channel lengths scaling down to ≈4 nm can be realized reliably. These graphene‐contacted ultrashort channel MoS 2 FETs exhibit superior performances including the nearly Ohmic contacts and excellent immunity to SCEs. This work provides a facile route toward the fabrication of various 2D material‐based devices for ultrascaled electronics.

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Crossref · 10.1002/adma.201702522

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Metadata

Authors
Xie, L., Liao, M., Wang, S., Yu, H., Du, L., Tang, J., Zhao, J., Zhang, J., Chen, P., Lu, X., Wang, G., Xie, G., Yang, R., Shi, D., & Zhang, G.
Venue
Advanced Materials
Publisher
Wiley
Published
2017-07-28
Volume
29
Issue
37
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2741011800
Cited by
283
References
2
FWCI
11.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Graphene‐Contacted Ultrashort Channel Monolayer MoS2 Transistors. https://app.cochat.ai/papers/10.1002/adma.201702522
The paper
Xie, L., Liao, M., Wang, S., Yu, H., Du, L., Tang, J., Zhao, J., Zhang, J., Chen, P., Lu, X., Wang, G., Xie, G., Yang, R., Shi, D., & Zhang, G. (2017). Graphene‐Contacted Ultrashort Channel Monolayer MoS2 Transistors. Advanced Materials. https://doi.org/10.1002/adma.201702522

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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.