Modeling and simulation of all-optical diffractive neural network based on nonlinear optical materials

In this Letter, we propose an all-optical diffractive deep neural network modeling method based on nonlinear optical materials. First, the nonlinear optical properties of graphene and zinc selenide (ZnSe) are analyzed. Then the optical limiting effect function corresponding to the saturation absorpt...

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Veröffentlicht in:	Optics letters 2022-01, Vol.47 (1), p.126-129
Hauptverfasser:	Sun, Yichen, Dong, Mingli, Yu, Mingxin, Lu, Lidan, Liang, Shengjun, Xia, Jiabin, Zhu, Lianqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Absorptivity Artificial intelligence Artificial neural networks Computer simulation Constraining Graphene Mathematical models Microscopes Neural networks Nonlinear optics Optical materials Optical properties Optics
Online-Zugang:	Volltext
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