The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.
Recent Advances in Optoelectronic Devices Based on 2D Materials and Their Heterostructures
Abstract
2D materials, such as graphene, transition metal dichalcogenides, and black phosphorus, have become the most potential semiconductor materials in the field of optoelectronic devices due to their extraordinary properties. Owing to the layer‐dependent and appropriately sized bandgaps, photodetectors based on various 2D materials are designed and manufactured rationally. Utilizing the unique properties of 2D materials, many surprising physical phenomena of junctions based on 2D materials can be obtained after different 2D materials are stacked together. This makes heterojunctions more popular than 2D materials themselves, and the design of 2D materials for human beings is easier than ever. In this review, recent progress in optoelectronic applications based on 2D materials and their heterojunctions is summarized and discussed.
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Cites
Electric Field Effect in Atomically Thin Carbon Films
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Two-dimensional gas of massless Dirac fermions in graphene
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Two-dimensional atomic crystals
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Large-Area Synthesis of High-Quality and Uniform Graphene Films on Copper Foils
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Van der Waals heterostructures
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Metadata
- Authors
- Cheng, J., Wang, C., Zou, X., & Liao, L.
- Venue
- Advanced Optical Materials
- Publisher
- Wiley
- Published
- 2018-08-28
- Volume
- 7
- Issue
- 1
- ISSN
- 2195-1071 (ISSN-L)
- OpenAlex
- W2888862120
- Cited by
- 359
- References
- 128
- FWCI
- 10.75
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cheng, J., Wang, C., Zou, X., & Liao, L. (2019). Recent Advances in Optoelectronic Devices Based on 2D Materials and Their Heterostructures. Advanced Optical Materials. https://doi.org/10.1002/adom.201800441
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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.