上海理工大学顾敏院士和张启明教授团队近期的一项研究实现了重要的范式突破——利用光传播的物理特性构建了光学神经元之间的连接网络，首次在光学系统中完整实现了神经网络的计算功能。 研究人员通过利用三维双光子纳米光刻技术集成微型光学衍射神经网络（DN2s, ...

衍射光学元件(DiffractiveOptical Elements，简称DOE)的设计理论通常分为两类：标量衍射理论和矢量衍射理论。当衍射光学元件的横向特征尺寸大于入射光波长时，用标量衍射理论设计衍射光学元件具有极大的优势。 标量衍射模型认为DOE是无限薄的曲面，是一种纯相位 ...

衍射光学元件(DiffractiveOptical Element，简称DOE)是一种基于光波衍射理论，利用计算机辅助设计，采用超大规模集成电路制造工艺在基片上或传统光学器件表面刻蚀出台阶或连续浮雕结构而形成的光学元件。 最早的DOE的应用是LordRayleigh在1871年所使用的振幅型菲涅尔 ...

Optics is better suited for such operations because of its inherent parallelism, large bandwidth, and computation speed. Diffractive deep neural networks (D 2 NN), also known as diffractive networks, ...

Diffractive deep neural network is an optical machine learning framework that blends deep learning with optical diffraction and light-matter interaction to engineer diffractive surfaces that ...

Thanks to a set of unique properties, diffractive optical elements have the potential to transform light into almost any desired distribution. Joshika Akhil gives the low-down on the technology that ...

Following a one-time training on a computer, the resulting visual processor with its passive diffractive layers is fabricated, forming a physical image denoiser that scatters out the optical modes ...

A paper by CU Boulder Professor Rafael Piestun and PhD candidate Haiyan Wang on diffractive optics was recently published in Optica, the most prestigious journal published by The Optical Society of ...

UCLA researchers have recently introduced a snapshot multispectral imager that uses a diffractive optical network, instead of absorptive filters, to have 16 unique spectral bands periodically ...

The proposed diffractive deep neural network employs orbital angular momentum encoding and diffractive layers to process spatial information from handwritten digits, offering a robust and ...