With the booming growth of artificial intelligence (AI), the traditional von Neumann
computing architecture based on complementary metal oxide semiconductor devices are …

The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …

In-memory computing provides an opportunity to meet the growing demands of large data-
driven applications such as machine learning, by colocating logic operations and data …

This paper will review emerging non-volatile memory (NVM) technologies, with the focus on
phase change memory (PCM), spin-transfer-torque random-access-memory (STTRAM) …

This review article attempts to provide a comprehensive review of the recent progress in the
so-called resistive random access memories (RRAMs). First, a brief introduction is presented …

Crossbar arrays based on two-terminal resistive switches have been proposed as a leading
candidate for future memory and logic applications. Here we demonstrate a high-density …

Despite impressive demonstrations of memristive behavior with halide perovskites, no clear
pathway for material and device design exists for their applications in neuromorphic …

Memristors have attracted considerable attention as one of the four basic circuit elements
besides resistors, capacitors, and inductors. Especially, the nonvolatile memory devices …

Stretchable electronics are essential for the development of intensely packed collapsible
and portable electronics, wearable electronics, epidermal and bioimplanted electronics, 3D …

In recent years, organic resistive memory devices in which active organic materials possess
at least two stable resistance states have been extensively investigated for their promising …