MXene‐Nanoflakes‐Enabled All‐Optical Nonlinear Activation Function for On‐Chip Photonic Deep Neural Networks
Abstract: 2D metal carbides and nitrides (MXene) are promising material platforms for on‐chip neural networks owing to their nonlinear saturable absorption effect. The localized surface plasmon resonances in metallic MXene nanoflakes may play an important role in enhancing the electromagnetic absorption; however, their contribution is not determined due to the lack of a precise understanding of its localized surface plasmon behavior. Here, a saturable absorber made of MXene thin film and a silicon waveguide with MXene flakes overlayer are developed to perform neuromorphic tasks. The proposed configurations are reconfigurable and can therefore be adjusted for various applications without the need to modify the physical structure of the proposed MXene‐based activator configurations via tuning the wavelength of operation. The capability and feasibility of the obtained results of machine‐learning applications are confirmed via handwritten digit classification task, with near 99% accuracy. These findings can guide the design of advanced ultrathin saturable absorption materials on a chip for a broad range of applications.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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MXene‐Nanoflakes‐Enabled All‐Optical Nonlinear Activation Function for On‐Chip Photonic Deep Neural Networks ; day:29 ; month:01 ; year:2023 ; extent:12
Advanced materials ; (29.01.2023) (gesamt 12)
- Creator
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Hazan, Adir
Ratzker, Barak
Zhang, Danzhen
Katiyi, Aviad
Sokol, Maxim
Gogocij, Jurij G.
Karabchevsky, Alina
- DOI
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10.1002/adma.202210216
- URN
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urn:nbn:de:101:1-2023013014104136821849
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:28 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Hazan, Adir
- Ratzker, Barak
- Zhang, Danzhen
- Katiyi, Aviad
- Sokol, Maxim
- Gogocij, Jurij G.
- Karabchevsky, Alina
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Two-dimensional photonic MXene nanomedicine
On-chip bacterial foraging training in silicon photonic circuits for projection-enabled nonlinear classification
Silicon-based all-optical wavelength converter for on-chip optical interconnection
Generation and all-optical manipulation of polychromatic photonic molecules
Metasurface for highly-efficient on-chip classical and quantum all-optical modulation
Miniaturized on-chip spectrometer enabled by electrochromic modulation
All-optical geometric image transformations enabled by ultrathin metasurfaces
Fully On‐Chip Microwave Photonic Instantaneous Frequency Measurement System
All‐Optical Data Processing with Photon‐Avalanching Nanocrystalline Photonic Synapse
Nonvolatile All‐Optical 1 × 2 Switch for Chipscale Photonic Networks
Tunable on-chip mode converter enabled by inverse design
On-chip all-optical processing with phase-change photonics
Two-dimensional photonic MXene nanomedicine
On-chip bacterial foraging training in silicon photonic circuits for projection-enabled nonlinear classification
Silicon-based all-optical wavelength converter for on-chip optical interconnection
Generation and all-optical manipulation of polychromatic photonic molecules
Metasurface for highly-efficient on-chip classical and quantum all-optical modulation
Miniaturized on-chip spectrometer enabled by electrochromic modulation
All-optical geometric image transformations enabled by ultrathin metasurfaces
Fully On‐Chip Microwave Photonic Instantaneous Frequency Measurement System
All‐Optical Data Processing with Photon‐Avalanching Nanocrystalline Photonic Synapse
Nonvolatile All‐Optical 1 × 2 Switch for Chipscale Photonic Networks