The DOI matches its Crossref record; 189 of the 189 references it cites were found in a registry or an index.
Graphene-based integrated photonics for next-generation datacom and telecom
Open accessAbstract
Graphene is an ideal material for optoelectronic applications. Its photonic properties give several advantages and complementarities over Si photonics. For example, graphene enables both electro-absorption and electro-refraction modulation with an electro-optical index change exceeding 10−3. It can be used for optical add–drop multiplexing with voltage control, eliminating the current dissipation used for the thermal detuning of microresonators, and for thermoelectric-based ultrafast optical detectors that generate a voltage without transimpedance amplifiers. Here, we present our vision for graphene-based integrated photonics. We review graphene-based transceivers and compare them with existing technologies. Strategies for improving power consumption, manufacturability and wafer-scale integration are addressed. We outline a roadmap of the technological requirements to meet the demands of the datacom and telecom markets. We show that graphene-based integrated photonics could enable ultrahigh spatial bandwidth density, low power consumption for board connectivity and connectivity between data centres, access networks and metropolitan, core, regional and long-haul optical communications.Graphene-integrated photonics is a platform for wafer-scale manufacturing of modulators, detectors and switches for next-generation datacom and telecom systems. This Review describes how these functions can be achieved with graphene layers placed on top of optical waveguides, acting as passive light guides, thus simplifying the current technology. In addition, a roadmap of the technological requirements for the datacom and telecom markets is presented.
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A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Large-Area Synthesis of High-Quality and Uniform Graphene Films on Copper Foils
Li, X., Cai, W., An, J., Kim, S., Nah, J., Yang, D., Piner, R., Velamakanni, A., Jung, I., Tutuc, E., et al. (2009) · Science · doi:10.1126/science.1171245 · Cited by 11,220
Fine Structure Constant Defines Visual Transparency of Graphene
Nair, R. R., Blake, P., Grigorenko, A. N., Novoselov, K. S., Booth, T. J., Stauber, T., Peres, N. M. R., & Geim, A. K. (2008) · Science · doi:10.1126/science.1156965 · Cited by 9,084
Graphene photonics and optoelectronics
Bonaccorso, F., Sun, Z., Hasan, T., & Ferrari, A. C. (2010) · Nature Photonics · doi:10.1038/nphoton.2010.186 · Cited by 7,726
Self-citationBoron nitride substrates for high-quality graphene electronics
Dean, C. R., Young, A. F., Meric, I., Lee, C., Wang, L., Sorgenfrei, S., Watanabe, K., Taniguchi, T., Kim, P., Shepard, K. L., et al. (2010) · Nature Nanotechnology · doi:10.1038/nnano.2010.172 · Cited by 7,124
Atomic Layer Deposition: An Overview
George, S. M. (2010) · Chemical Reviews · doi:10.1021/cr900056b · Cited by 5,814
Photodetectors based on graphene, other two-dimensional materials and hybrid systems
Koppens, F. H. L., Mueller, T., Avouris, P., Ferrari, A. C., Vitiello, M. S., & Polini, M. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.215 · Cited by 3,828
Self-citationMonitoring dopants by Raman scattering in an electrochemically top-gated graphene transistor
Das, A., Pisana, S., Chakraborty, B., Piscanec, S., Saha, S. K., Waghmare, U. V., Novoselov, K. S., Krishnamurthy, H. R., Geim, A. K., Ferrari, A. C., et al. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2008.67 · Cited by 3,621
Self-citationGraphene, related two-dimensional crystals, and hybrid systems for energy conversion and storage
Bonaccorso, F., Colombo, L., Yu, G., Stoller, M., Tozzini, V., Ferrari, A. C., Ruoff, R. S., & Pellegrini, V. (2015) · Science · doi:10.1126/science.1246501 · Cited by 3,454
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Liu, C., Guo, J., Yu, L., Li, J., Zhang, M., Li, H., Shi, Y., & Dai, D. (2021) · Light: Science & Applications · doi:10.1038/s41377-021-00551-4 · Cited by 473
Rahim, A., Hermans, A., Wohlfeil, B., Petousi, D., Kuyken, B., Van Thourhout, D., & Baets, R. G. (2021) · Advanced Photonics · doi:10.1117/1.ap.3.2.024003 · Cited by 391
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Guo, J., Li, J., Liu, C., Yin, Y., Wang, W., Ni, Z., Fu, Z., Yu, H., Xu, Y., Shi, Y., et al. (2020) · Light: Science & Applications · doi:10.1038/s41377-020-0263-6 · Cited by 260
Matter manipulation with extreme terahertz light: Progress in the enabling THz technology
Salén, P., Basini, M., Bonetti, S., Hebling, J., Krasilnikov, M., Nikitin, A. Y., Shamuilov, G., Tibai, Z., Zhaunerchyk, V., & Goryashko, V. (2019) · Physics Reports · doi:10.1016/j.physrep.2019.09.002 · Cited by 262
Metamaterial graphene photodetector with bandwidth exceeding 500 gigahertz
Koepfli, S. M., Baumann, M., Koyaz, Y., Gadola, R., Güngör, A., Keller, K., Horst, Y., Nashashibi, S., Schwanninger, R., Doderer, M., et al. (2023) · Science · doi:10.1126/science.adg8017 · Cited by 227
Metadata
- Authors
- Romagnoli, M., Sorianello, V., Midrio, M., Koppens, F. H. L., Huyghebaert, C., Neumaier, D., Galli, P., Templ, W., D’Errico, A., & Ferrari, A. C.
- Venue
- Nature Reviews Materials
- Published
- 2018-10-01
- Volume
- 3
- Issue
- 10
- Pages
- 392-414
- ISSN
- 2058-8437 (ISSN-L)
- OpenAlex
- W2895305195
- Cited by
- 409
- References
- 189
- FWCI
- 2.93
- Type
- journal article
- Language
- en
- Open access
- green
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