Transparent conductive oxides and low-loss nitride-rich silicon waveguides as building blocks for neuromorphic photonics
Fully CMOS-compatible photonic memory holding devices hold a potential in the development of ultrafast artificial neural networks. Leveraging the benefits of photonics such as high-bandwidth, low latencies, low-energy interconnect, and high speed, they can overcome the existing limits of electronic...
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| Veröffentlicht in: | Applied physics letters 2023-11, Vol.123 (22) |
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| container_title | Applied physics letters |
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| creator | Gosciniak, Jacek Khurgin, Jacob B. |
| description | Fully CMOS-compatible photonic memory holding devices hold a potential in the development of ultrafast artificial neural networks. Leveraging the benefits of photonics such as high-bandwidth, low latencies, low-energy interconnect, and high speed, they can overcome the existing limits of electronic processing. To satisfy all these requirements, a photonic platform is proposed that combines low-loss nitride-rich silicon as a guide and low-loss transparent conductive oxides as an active material that can provide high nonlinearity and bistability under both electrical and optical signals. |
| doi_str_mv | 10.1063/5.0172601 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0003-6951 |
| ispartof | Applied physics letters, 2023-11, Vol.123 (22) |
| issn | 0003-6951 1077-3118 |
| language | eng |
| recordid | cdi_scitation_primary_10_1063_5_0172601 |
| source | AIP Journals Complete; Alma/SFX Local Collection |
| subjects | Applied physics Artificial neural networks Holding devices Memory devices Nitrides Optical communication Photonics Silicon Waveguides |
| title | Transparent conductive oxides and low-loss nitride-rich silicon waveguides as building blocks for neuromorphic photonics |
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