2021
DOI: 10.21203/rs.3.rs-919901/v1
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Ti3C2Tx MXene Enabled All-Optical Nonlinear Activation Function for On-Chip Photonic Deep Neural Networks

Abstract: Neural networks are one of the first major milestones in developing artificial intelligence systems. The utilisation of integrated photonics in neural networks offers a promising alternative approach to microelectronic and hybrid optical-electronic implementations due to improvements in computational speed and low energy consumption in machine-learning tasks. However, at present, most of the neural network hardware systems are still electronic-based due to a lack of optical realisation of the nonlinear activat… Show more

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Cited by 2 publications
(2 citation statements)
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“…In addition, it was known from the spectral information in the TAS that the MXene nonlinear response also had a significant wavelength dependence, which is consistent with the previous study. [ 19 ] Therefore, based on the wavelength and intensity dependences of MXene optical transmission, our nonlinear activator showed promising configuration reconfigurability properties, implying that it can be used for different types of ONNs.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, it was known from the spectral information in the TAS that the MXene nonlinear response also had a significant wavelength dependence, which is consistent with the previous study. [ 19 ] Therefore, based on the wavelength and intensity dependences of MXene optical transmission, our nonlinear activator showed promising configuration reconfigurability properties, implying that it can be used for different types of ONNs.…”
Section: Resultsmentioning
confidence: 99%
“…Recently, researchers have deposited Ti 3 C 2 T x nanosheets directly onto a rib waveguide to provide nonlinear activation using the nonlinearity of the Ti 3 C 2 T x . [ 19 ] This has the advantage of fast response and ease of integration, but that work did not examine in detail what factors affect the performance of the nonlinear activator. There is an urgent need to conduct in‐depth research on the factors affecting the performance of nonlinear activators and to establish a criterion for them, which will benefit the development of nonlinear activators and accelerate the integration of ONNs with AI.…”
Section: Introductionmentioning
confidence: 99%