MXene‐Nanoflakes‐Enabled All‐Optical Nonlinear Activation Function for On‐Chip Photonic Deep Neural Networks
MXene‐Nanoflakes‐Enabled All‐Optical Nonlinear Activation Function for On‐Chip Photonic Deep Neural Networks
复制标题
MXene – Nanoflakes – 启用片上光子深度神经网络的所有光学非线性激活函数
DOI：
10.1002/adma.202210216
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发表时间：
2023
影响因子：
29.4
通讯作者：
Karabchevsky, Alina
中科院分区：
文献类型：
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作者：
Hazan, Adir;Ratzker, Barak;Zhang, Danzhen;Katiyi, Aviad;Sokol, Maxim;Gogotsi, Yury;Karabchevsky, Alina
二维金属碳化物和氮化物（MXene）由于其非线性可饱和吸收效应，是片上神经网络的有前途的材料平台。金属MXene纳米片中的局部表面等离子体共振可能在增强电磁吸收方面发挥重要作用;然而，由于缺乏对其局部表面等离子体行为的精确理解，它们的贡献尚未确定。在这里，一个饱和吸收MXene薄膜和硅波导MXene薄片覆盖层制成的开发执行neuromorphic任务。所提出的配置是可重新配置的，因此可以针对各种应用进行调整，而不需要通过调谐操作波长来修改所提出的基于MXene的激活剂配置的物理结构。通过手写数字分类任务证实了机器学习应用所获得结果的能力和可行性，准确率接近99%。这些研究结果可以指导设计先进的可饱和吸收材料的芯片上的广泛的应用。
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.