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 ...

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 ...

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, ...

Spatially incoherent diffractive optical processors can handle data beyond non-negative values, potentially making them valuable in diverse scenarios, such as visual encryption and autonomous ...

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 ...

Unlike a reflective solar sail, a sun-facing diffractive solar sail uses a component of force perpendicular to the sun line. This allows navigation without sacrificing the amount of solar power on the ...

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 ...

The system is called a diffractive deep neural network (D2NN). It uses the light scattered by an object to identify the object. UCLA researchers based the system on a deep learning-based design ...

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 ...