Semiconductor memories are essential ingredients of modern electronic devices. Resistive
Random-Access Memories (RRAMs) have emerged as better alternatives for conventional …

Neuromorphic computing systems inspired by the human brain emulate biological synapses
electronically for information handling and processing. Recently, memristive switching …

MXene, a new state-of-the-art two-dimensional (2D) nanomaterial, has attracted
considerable interest from both industry and academia because of its excellent electrical …

In recent years, the emergence of memory devices, especially resistive random-access
memories (RRAM), has been a front-runner in many technological applications. This is due …

Resistive-switching-based memory devices meet most of the requirements for use in next-
generation information and communication technology applications, including standalone …

Memristors emulating biological synapses to perform memory and learning functions are
crucial for realizing bio-inspired neuromorphic systems. However, to meet the increasing …

The recent progress of selector and self‐rectifying devices for resistive random‐access
memory applications is reviewed. In particular, the performance of crossbar arrays based on …

In this work, native GaO x is positioned between bulk gallium and degenerately doped p-
type silicon (p+-Si) to form Ga/GaO x/SiO x/p+-Si junctions. These junctions show memristive …

In the present work, we have demonstrated the capacitive coupled non-zero and type-II
hysteresis behavior of nickel ferrite (NFO)-titanium oxide (TiO 2) nanocomposite. For this …

Neuromorphic devices with extremely low energy consumption are greatly demanded for
brain-like computing and artificial intelligence (AI). In this work, the ZnO–NiO nanocomposite …