Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

InP quantum dots (QDs) are typical III–V group semiconductor nanocrystals that feature
large excitonic Bohr radius and high carrier mobility. The merits of InP QDs include large …

Being capable of dealing with both electrical signals and light, artificial optoelectronic
synapses are of great importance for neuromorphic computing and are receiving a …

Over the last decades, great advances have been made in the development of nanoscale
optoelectronics, such as solar cells, photodetectors, and light-emitting diodes. The design of …

Due to the rapid development of artificial intelligence (AI) and internet of things (IoTs),
neuromorphic computing and hardware security are becoming more and more important …

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

The explosion in demand for massive data processing and storage requires revolutionary
memory technologies featuring ultrahigh speed, ultralong retention, ultrahigh capacity and …

Humanoid robots, intelligent machines resembling the human body in shape and functions,
cannot only replace humans to complete services and dangerous tasks but also deepen the …

Carbon dots (CDs) are widely utilized in sensing, energy storage, and catalysis due to their
excellent optical, electrical and semiconducting properties. However, attempts to optimize …

Photonic in-memory computing exhibits promising potential to address the inherent
limitations of traditional von Neumann architecture. In this study, we demonstrate a tantalum …