Machine‐learning‐enhanced nanosensors are rapidly emerging as a promising solution in
the field of sensor technology, as traditional sensors encounter limitations of data analysis in …

Integration of chalcogenide phase-change materials (PCMs) with planar multilayer
structures, metasurfaces, waveguides and photonic integrated circuits has sparked …

The programmable photonic integrated circuit (PIC) is an enabling technology behind
optical interconnects and quantum information processing. Conventionally, the …

A matrix-vector multiplication (MVM) optical signal processor based on mode division
multiplexing (MDM) was proposed and demonstrated in the current work, which is …

Monolithic integration of novel materials without modifying the existing photonic component
library is crucial to advancing heterogeneous silicon photonic integrated circuits. Here we …

With the rapid development of the Internet of Things, how to efficiently store, transmit, and
process massive amounts of data has become a major challenge now. Optical neural …

The burgeoning of artificial intelligence has brought great convenience to people's lives as
large-scale computational models have emerged. Artificial intelligence-related applications …

Chalcogenide phase-change materials (PCMs) are widely applied in electronic and
photonic applications, such as non-volatile memory and neuro-inspired computing. Doped …

Over the past few years, extensive work on optical neural networks has been investigated in
hopes of achieving orders of magnitude improvement in energy efficiency and compute …

The demand for information processing at ultrahigh speed with large data transmission
capacity is continuously rising. Necessary building blocks for on‐chip photonic integrated …