Academic Journal
MXene‐Based Broadband Ultrafast Nonlinear Activator for Optical Computing
العنوان: | MXene‐Based Broadband Ultrafast Nonlinear Activator for Optical Computing |
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المؤلفون: | Yang, Zhan, Tan, Weimin, Zhang, Tianju, Chen, Chenduan, Wang, Zixin, Mao, Yu, Ma, Chenxi, Lin, Qing, Bi, Wanjun, Yu, Fei, Yan, Bo, Wang, Jun |
المساهمون: | National Natural Science Foundation of China |
المصدر: | Advanced Optical Materials ; volume 10, issue 17 ; ISSN 2195-1071 2195-1071 |
بيانات النشر: | Wiley |
سنة النشر: | 2022 |
المجموعة: | Wiley Online Library (Open Access Articles via Crossref) |
الوصف: | Optical neural networks (ONNs) are particularly advantageous owing to their inherent parallelism and low energy consumption. However, one of the obstacles to the implementation of ONNs is the lack of optical nonlinearity. In this study, optical nonlinear activators for ONNs are prepared by combining Ti 3 C 2 T x MXene with microfibers and their principles are verified. Activation functions obtained from experimental measurements are used to simulate multiclassification and super‐resolution reconstruction tasks with performance comparable to that of activation functions commonly used in computers. Four necessary criteria are proposed and validated for evaluating the performance of the nonlinear activator: recovery time, deviation from linearity, the activation function close to identity mapping, and reconfigurability of the configuration. Theoretically, the nonlinear activator can compute 100 times faster than commonly used electronic computers and can be used as a nonlinear activation unit for ONNs to help the integration of ONNs with artificial intelligence. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
DOI: | 10.1002/adom.202200714 |
الاتاحة: | http://dx.doi.org/10.1002/adom.202200714 https://onlinelibrary.wiley.com/doi/pdf/10.1002/adom.202200714 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/adom.202200714 |
Rights: | http://onlinelibrary.wiley.com/termsAndConditions#vor |
رقم الانضمام: | edsbas.10298675 |
قاعدة البيانات: | BASE |
DOI: | 10.1002/adom.202200714 |
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