Perovskite materials have driven tremendous advances in constructing electronic devices
owing to their low cost, facile synthesis, outstanding electric and optoelectronic properties …

Neuromorphic computing has been gaining momentum for the past decades and has been
appointed as the replacer of the outworn technology in conventional computing systems …

Conventional von Neumann–based computing systems have inherent limitations such as
high hardware complexity, relatively inferior energy efficiency, and low bandwidth. As an …

Possessing the merits of high efficiency, low consumption, and versatility, emerging photonic
memristive and memristive‐like devices exhibit an attractive future in constructing novel …

Graphene oxide (GO)-based memristors offer the promise of low cost, eco-friendliness, and
mechanical flexibility, making them attractive candidates for outstanding flexible electronic …

Recently, resistive switching memory (RRAM) has been attractive for implementing
electronic synapses in neural networks and high-density memory technology. In this paper …

Emerging optical synapses with in‐memory computing sensor (IMCS) performance are
considered to be one of the most effective candidates to circumvent the bottleneck of the …

As the development of neuromorphic computing, it is meaningful to explore the synaptic
memristors based on organic materials owing to their advantages in low cost, good …

Neuromorphic systems with large-scale parallel computing capability and low power
consumption have become important for the development of artificial intelligence …

One-dimensional (1D) metal oxide-based photonic memristors, combining information
storage and optical response, have shown great potential for the design and development of …