Optofluidic memory and self-induced nonlinear optical phase change for reservoir computing in silicon photonics
Abstract Nanophotonics allows to employ light-matter interaction to induce nonlinear optical effects and realize non-conventional memory and computation capabilities, however to date, light-liquid interaction was not considered as a potential mechanism to achieve computation on a nanoscale. Here, we...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-40127-x |
| _version_ | 1797774113442365440 |
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| author | Chengkuan Gao Prabhav Gaur Dhaifallah Almutairi Shimon Rubin Yeshaiahu Fainman |
| author_facet | Chengkuan Gao Prabhav Gaur Dhaifallah Almutairi Shimon Rubin Yeshaiahu Fainman |
| author_sort | Chengkuan Gao |
| collection | DOAJ |
| description | Abstract Nanophotonics allows to employ light-matter interaction to induce nonlinear optical effects and realize non-conventional memory and computation capabilities, however to date, light-liquid interaction was not considered as a potential mechanism to achieve computation on a nanoscale. Here, we experimentally demonstrate self-induced phase change effect which relies on the coupling between geometric changes of thin liquid film to optical properties of photonic waveguide modes, and then employ it for neuromorphic computing. In our optofluidic silicon photonics system we utilize thermocapillary-based deformation of thin liquid film capable to induce nonlinear effect which is more than one order of magnitude higher compared to the more traditional heat-based thermo-optical effect, and allowing operation as a nonlinear actuator and memory element, both residing at the same compact spatial region. The resulting dynamics allows to implement Reservoir Computing at spatial region which is approximately five orders of magnitude smaller compared to state-of-the-art experimental liquid-based systems. |
| first_indexed | 2024-03-12T22:15:21Z |
| format | Article |
| id | doaj.art-d346a4eabcd6453590c5e45ce35a09ab |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-12T22:15:21Z |
| publishDate | 2023-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-d346a4eabcd6453590c5e45ce35a09ab2023-07-23T11:20:12ZengNature PortfolioNature Communications2041-17232023-07-011411910.1038/s41467-023-40127-xOptofluidic memory and self-induced nonlinear optical phase change for reservoir computing in silicon photonicsChengkuan Gao0Prabhav Gaur1Dhaifallah Almutairi2Shimon Rubin3Yeshaiahu Fainman4Department of Electrical and Computer Engineering, University of CaliforniaDepartment of Electrical and Computer Engineering, University of CaliforniaDepartment of Electrical and Computer Engineering, University of CaliforniaDepartment of Electrical and Computer Engineering, University of CaliforniaDepartment of Electrical and Computer Engineering, University of CaliforniaAbstract Nanophotonics allows to employ light-matter interaction to induce nonlinear optical effects and realize non-conventional memory and computation capabilities, however to date, light-liquid interaction was not considered as a potential mechanism to achieve computation on a nanoscale. Here, we experimentally demonstrate self-induced phase change effect which relies on the coupling between geometric changes of thin liquid film to optical properties of photonic waveguide modes, and then employ it for neuromorphic computing. In our optofluidic silicon photonics system we utilize thermocapillary-based deformation of thin liquid film capable to induce nonlinear effect which is more than one order of magnitude higher compared to the more traditional heat-based thermo-optical effect, and allowing operation as a nonlinear actuator and memory element, both residing at the same compact spatial region. The resulting dynamics allows to implement Reservoir Computing at spatial region which is approximately five orders of magnitude smaller compared to state-of-the-art experimental liquid-based systems.https://doi.org/10.1038/s41467-023-40127-x |
| spellingShingle | Chengkuan Gao Prabhav Gaur Dhaifallah Almutairi Shimon Rubin Yeshaiahu Fainman Optofluidic memory and self-induced nonlinear optical phase change for reservoir computing in silicon photonics Nature Communications |
| title | Optofluidic memory and self-induced nonlinear optical phase change for reservoir computing in silicon photonics |
| title_full | Optofluidic memory and self-induced nonlinear optical phase change for reservoir computing in silicon photonics |
| title_fullStr | Optofluidic memory and self-induced nonlinear optical phase change for reservoir computing in silicon photonics |
| title_full_unstemmed | Optofluidic memory and self-induced nonlinear optical phase change for reservoir computing in silicon photonics |
| title_short | Optofluidic memory and self-induced nonlinear optical phase change for reservoir computing in silicon photonics |
| title_sort | optofluidic memory and self induced nonlinear optical phase change for reservoir computing in silicon photonics |
| url | https://doi.org/10.1038/s41467-023-40127-x |
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