Terahertz (THz) communication has emerged as one of the key technologies for sixth-generation (6G) wireless networks. Nevertheless, the transition to higher operational frequencies poses various challenges including high-speed digital-to-analog conversion (DACs) and analog-to-digital conversion (ADCs), heterogeneous integration of optoelectronic devices, resulting in an urgent need for solutions. In this paper, we demonstrate a groundbreaking THz analog differential operator driven by diffractive neural networks (DNN), implementing ultra-fast and high-throughput analog domain differential operations. The designed multilayer all-optical DNN composed of compact dielectric metasurfaces is trained with trigonometric functions to perform analog differential computing of complex input signals by approximating the differentiation of finite decompositions of time-domain function based on the Fourier transform theory, significantly improving integration, throughput, and processing speed. Our design has been experimentally validated to successfully implement single-direction differential operation on one- and two-dimensional signals with superior structural similarity index measure (SSIM) and peak signal-to-noise ratio (PSNR), providing a promising path for the development of integrated and ultrafast THz communication systems.

Xinjiang long-staple cotton is widely used in the production of high-end textiles due to its excellent quality. However, foreign fibers such as plastic film, cotton boll hull, human hair, and polypropylene fibers are easily mixed in during mechanical harvesting and processing.

Silver-based atomic switches that create stable electrical connections between individual molecules and electrodes have been developed by researchers from Japan, addressing a key challenge in wiring molecular electronics. The switch operates by forming and breaking silver atomic filaments when a voltage is applied and reversed, corresponding to the “on” and “off” states. This method enables the scalable integration of molecular components, paving the way for ultra-compact and energy-efficient circuits built from single molecules.