Broadband Diffractive Neural Networks Enabling Classification of Visible Wavelengths

Abstract

Diffractive Neural Networks

In article number 2300310, Ying Zhi Cheong, Blanca del Rosal, Sharath Sriram, and co-workers propose and demonstrate a microscale multi-layer diffractive neural network approach that classifies various wavelengths in the visible spectrum. This miniaturised classification approach, achieved through two-photon polymerization, has potential application in medical diagnosis to material science, enabling rapid detection of analytes based on the presence of optical extinction bands at specific wavelengths.