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MXene-Nanoflakes-Enabled All-Optical Nonlinear Activation Function for On-Chip Photonic Deep Neural Networks

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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MXene-Nanoflakes-Enabled All-Optical Nonlinear Activation Function for On-Chip Photonic Deep Neural Networks. / Hazan, Adir; Ratzker, Barak; Zhang, Danzhen et al.
In: Advanced Materials, Vol. 35, No. 11, 2210216, 16.03.2023.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Hazan, A, Ratzker, B, Zhang, D, Katiyi, A, Sokol, M, Gogotsi, Y & Karabchevsky, A 2023, 'MXene-Nanoflakes-Enabled All-Optical Nonlinear Activation Function for On-Chip Photonic Deep Neural Networks', Advanced Materials, vol. 35, no. 11, 2210216. https://doi.org/10.1002/adma.202210216

APA

Hazan, A., Ratzker, B., Zhang, D., Katiyi, A., Sokol, M., Gogotsi, Y., & Karabchevsky, A. (2023). MXene-Nanoflakes-Enabled All-Optical Nonlinear Activation Function for On-Chip Photonic Deep Neural Networks. Advanced Materials, 35(11), Article 2210216. https://doi.org/10.1002/adma.202210216

Vancouver

Hazan A, Ratzker B, Zhang D, Katiyi A, Sokol M, Gogotsi Y et al. MXene-Nanoflakes-Enabled All-Optical Nonlinear Activation Function for On-Chip Photonic Deep Neural Networks. Advanced Materials. 2023 Mar 16;35(11):2210216. Epub 2023 Jan 29. doi: 10.1002/adma.202210216

Author

Hazan, Adir ; Ratzker, Barak ; Zhang, Danzhen et al. / MXene-Nanoflakes-Enabled All-Optical Nonlinear Activation Function for On-Chip Photonic Deep Neural Networks. In: Advanced Materials. 2023 ; Vol. 35, No. 11.

Bibtex

@article{e1edd98f5d9f47abaed73137699b3977,
title = "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.",
keywords = "artificial intelligence, integrated photonics, MXenes, silicon photonics, titanium carbide, waveguides",
author = "Adir Hazan and Barak Ratzker and Danzhen Zhang and Aviad Katiyi and Maxim Sokol and Yury Gogotsi and Alina Karabchevsky",
note = "Publisher Copyright: {\textcopyright} 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH.",
year = "2023",
month = mar,
day = "16",
doi = "10.1002/adma.202210216",
language = "English",
volume = "35",
journal = "Advanced Materials",
issn = "0935-9648",
publisher = "Wiley-VCH Verlag",
number = "11",

}

RIS

TY - JOUR

T1 - MXene-Nanoflakes-Enabled All-Optical Nonlinear Activation Function for On-Chip Photonic Deep Neural Networks

AU - Hazan, Adir

AU - Ratzker, Barak

AU - Zhang, Danzhen

AU - Katiyi, Aviad

AU - Sokol, Maxim

AU - Gogotsi, Yury

AU - Karabchevsky, Alina

N1 - Publisher Copyright: © 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH.

PY - 2023/3/16

Y1 - 2023/3/16

N2 - 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.

AB - 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.

KW - artificial intelligence

KW - integrated photonics

KW - MXenes

KW - silicon photonics

KW - titanium carbide

KW - waveguides

U2 - 10.1002/adma.202210216

DO - 10.1002/adma.202210216

M3 - Journal article

AN - SCOPUS:85146933064

VL - 35

JO - Advanced Materials

JF - Advanced Materials

SN - 0935-9648

IS - 11

M1 - 2210216

ER -