The scalability of two-dimensional (2D) materials down to a single monolayer offers exciting
prospects for high-speed, energy-efficient, scalable memristors. This review highlights the …

Neural networks (NNs) have made significant progress in recent years and have been
applied in a broad range of applications, including speech recognition, image classification …

Functional and low-cost switching materials are necessary to sustain the development of
data storage and brain-inspired computing technologies. Polypyrrole (PPy) is one of the …

Memristive devices have emerged as promising alternatives to traditional complementary
metal-oxide semiconductor (CMOS)-based circuits in the field of neuromorphic systems …

Resistive Switching (RS) devices present a promising solution for next-generation non-
volatile memories and artificial synaptic devices. This study investigates resistive switching …

The utilization of heterogeneous architecture presents a promising approach to bolster the
reliability of memristors and achieve high-density memory with synaptic properties. The …

Complex information processing in neuromorphic systems relies on artificial neurons and
synapses as fundamental components. Frequently, memristors are utilized as artificial …

Resistive switching (RS) based memory or memristive devices have emerged as promising
candidates for resistive random-access memory (RRAM) and neuromorphic computing …

The present research reports tin-mono-sulphide (SnS) based Schottky diodes with
asymmetric resistive switching characteristics. The SnS thin films are deposited over flexible …

The resistive switching (RS) effect in ferroelectric oxides continues to attract significant
attention due to its potential applications in nonvolatile memory and neuromorphic …