The quest to imbue machines with intelligence akin to that of humans, through the
development of adaptable neuromorphic devices and the creation of artificial neural …

Inspired by human brain and visual system, optoelectronic memristors-based neuromorphic
computing has attracted the interests of researchers to overcome the limitation of traditional …

A mixed-dimensional dual-channel synaptic transistor composed of inorganic nanoparticles
and organic nanowires was fabricated to expand the photoelectric gain range. The device …

Synaptic devices are expected to overcome von Neumann's bottleneck and served as one of
the foundations for future neuromorphic computing. Lead halide perovskites are considered …

Deep ultraviolet (DUV)-light-stimulated artificial synaptic devices exhibit potential
applications in various disciplines including intelligent military monitoring, biological and …

Sophisticated intelligent interactive system calls for energy-efficient strategy to
multifunctional versatile sensory devices. Triboelectric potential derived from triboelectric …

Memristive devices based on two-dimensional (2D) semiconducting materials have
emerged as highly promising neuromorphic devices due to their intrinsic atomic body and …

Artificial synapses with full synapse-like functionalities are of crucial importance for the
implementation of neuromorphic computing and bioinspired intelligent systems. In particular …

The development of a synaptic transistor stimulated by visible light has drawn significant
attention in recent years due to its high operating speed, low energy consumption, wide …

This paper presents the first synaptic transistor (ST) that combines crossed p‐type and n‐
type semiconductor nanowires (NWs) to form a bipolar conductive channels. The bipolar …