Optoelectronic memristors (OMs) have emerged as a promising optoelectronic
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …

To meet the ever-increasing demand for the continuous development of human society and
carbon neutralization, biomass has been demonstrated to be a pluripotent and powerful …

Neuromorphic computing promises to transform the current paradigm of traditional
computing toward non-von Neumann dynamic energy-efficient problem solving. To realize …

The demand for accurate perception of the physical world leads to a dramatic increase in
sensory nodes. However, the transmission of massive and unstructured sensory data from …

Integrated photonic neural networks (PNNs) are at the forefront of AI computing, leveraging
light's unique properties, such as large bandwidth, low latency, and potentially low power …

Reconfigurable optical devices hold great promise for advancing high‐density optical
interconnects, photonic switching, and memory applications. While many optical modulators …

Chalcogenide phase-change materials (PCMs) are showing versatile possibilities in cutting-
edge applications, including non-volatile memory, neuromorphic computing, and nano …

To reduce system complexity and bridge the interface between electronic and photonic
circuits, there is a high demand for a non-volatile memory that can be accessed both …

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

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