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Nanomaterials in transistors: From high-performance to thin-film applications
Abstract
Improving transistors with nanomaterials: High-performance silicon transistors and thin-film transistors used in display technologies are fundamentally limited to miniaturization. Incorporating nanomaterials—such as carbon nanotubes, graphene, and related two-dimensional materials like molybdenum disulfide—into these devices as gate materials may circumvent some of these limitations. Franklin reviews the opportunities and challenges for incorporating nanomaterials into transistors to improve performance. Because high-performance transistors are distinct from thin-film transistors, incorporating them into flexible or transparent platforms raises new challenges. Science , this issue 10.1126/science.aab2750
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Cited by
MoS2transistors with 1-nanometer gate lengths
Desai, S. B., Madhvapathy, S. R., Sachid, A. B., Llinas, J. P., Wang, Q., Ahn, G. H., Pitner, G., Kim, M. J., Bokor, J., Hu, C., et al. (2016) · Science · doi:10.1126/science.aah4698 · Cited by 1,511
Recent progress in 2D group-VA semiconductors: from theory to experiment
Zhang, S., Guo, S., Chen, Z., Wang, Y., Gao, H., Gómez-Herrero, J., Ares, P., Zamora, F., Zhu, Z., & Zeng, H. (2018) · Chemical Society Reviews · doi:10.1039/c7cs00125h · Cited by 850
Analyzing the Carrier Mobility in Transition‐Metal Dichalcogenide MoS2 Field‐Effect Transistors
Yu, Z., Ong, Z., Li, S., Xu, J., Zhang, G., Zhang, Y., Shi, Y., & Wang, X. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201604093 · Cited by 426
Samadi, M., Sarikhani, N., Zirak, M., Zhang, H., Zhang, H.-L., & Moshfegh, A. Z. (2018) · Nanoscale Horizons · doi:10.1039/c7nh00137a · Cited by 408
Hong, J., Jin, C., Yuan, J., & Zhang, Z. (2017) · Advanced Materials · doi:10.1002/adma.201606434 · Cited by 293
Metadata
- Authors
- Franklin, A. D.
- Venue
- Science
- Published
- 2015-08-14
- Volume
- 349
- Issue
- 6249
- Pages
- aab2750-aab2750
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2133558017
- Cited by
- 660
- References
- 0
- FWCI
- 24.78
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
