Results 71 to 80 of about 716 (180)
This review explains how atomically thin materials can combine information storage, processing, and mechanical flexibility in neuromorphic devices. It connects material properties and engineering strategies with device architecture, synaptic behavior, and performance under bending.
Junzhe Tang, Letian Dai
wiley +1 more source
Resistive random‐access memories (ReRAM) are promising candidates for next‐generation non‐volatile memory, logic components, and bioinspired neuromorphic computing applications.
Manvendra Chauhan +2 more
doaj +1 more source
Selector integration enables scalable memristor crossbar arrays by suppressing sneak‐path currents and improving array selectivity. This review summarizes integration strategies, device requirements, challenges, and opportunities for high‐density memory, compute‐in‐memory, and neuromorphic computing systems.
Zohreh Hajiabadi +3 more
wiley +1 more source
GeSeTe-based OTS selector integrated with ReRAM for high-density 1S-1R memory arrays
In this study, we developed a high-performance binary Ovonic Threshold Switching (OTS) selector based on GeSeTe and a resistive random access memory (ReRAM) device based on TaOx.
Hyun Kyu Seo +2 more
doaj +1 more source
Integration of metamaterial and nonvolatile memory devices with tunable characteristics is an enthusing area of research. Designing a unique nanoscale prototype to achieve a metasurface with reliable resistive switching properties is an elusive goal.
Niloufar Raeis-Hosseini, Junsuk Rho
doaj +1 more source
ReRAM/CMOS Array Integration and Characterization via Design of Experiments
No two fabricated Resistive Random Access Memory (ReRAM) devices are alike. Each device can have its own individual optimal set of operating parameters that gives the best performance.
Imtiaz Hossen +7 more
doaj +1 more source
Corrosion Hammer: a self-activated bit-flip attack to the processing-in-memory accelerator
The Resistive Random-Access-Memory (ReRAM) crossbar-based Processing-In-Memory (PIM) accelerator shows great promise in accelerating neural networks (NNs).
Zihao Yang +6 more
doaj +1 more source
Halide perovskites (HPs) have been recognized as promising materials for next-generation non-volatile memories, particularly resistive random-access memory (ReRAM).
Geon Kim +5 more
doaj +1 more source
Non-volatile resistive random-access memory (ReRAM) is a promising candidate for next-generation information storage, such as radiation-resistant memory modules and multifunctional memristor for sensing, data storage, and computing.
Dong Li +12 more
doaj +1 more source
We measured X-ray absorption spectra of amorphous alumina with vacancy-type oxygen defects (AlOx) which exhibits the resistance random access memory (ReRAM) effect. We were able to detect changes in the electronic structure owing to the ReRAM effect.
Masato Kubota +3 more
doaj +1 more source

