Resistive random access memory (RRAM): an overview of materials, switching mechanism, performance, multilevel cell (MLC) storage, modeling, and applications

F Zahoor, TZ Azni Zulkifli, FA Khanday - Nanoscale research letters, 2020 - Springer
In this manuscript, recent progress in the area of resistive random access memory (RRAM)
technology which is considered one of the most standout emerging memory technologies …

A comprehensive review on emerging artificial neuromorphic devices

J Zhu, T Zhang, Y Yang, R Huang - Applied Physics Reviews, 2020 - pubs.aip.org
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Resistive switching memories based on metal oxides: mechanisms, reliability and scaling

D Ielmini - Semiconductor Science and Technology, 2016 - iopscience.iop.org
With the explosive growth of digital data in the era of the Internet of Things (IoT), fast and
scalable memory technologies are being researched for data storage and data-driven …

Recent progress in resistive random access memories: Materials, switching mechanisms, and performance

F Pan, S Gao, C Chen, C Song, F Zeng - Materials Science and …, 2014 - Elsevier
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 …

Memristive devices for computing

JJ Yang, DB Strukov, DR Stewart - Nature nanotechnology, 2013 - nature.com
Memristive devices are electrical resistance switches that can retain a state of internal
resistance based on the history of applied voltage and current. These devices can store and …

Synaptic electronics: materials, devices and applications

D Kuzum, S Yu, HSP Wong - Nanotechnology, 2013 - iopscience.iop.org
In this paper, the recent progress of synaptic electronics is reviewed. The basics of biological
synaptic plasticity and learning are described. The material properties and electrical …

[HTML][HTML] Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks

D Ielmini - Microelectronic Engineering, 2018 - Elsevier
The human brain can perform advanced computing tasks, such as learning, recognition, and
cognition, with extremely low power consumption and low frequency of neuronal spiking …

In-memory computing with emerging memory devices: Status and outlook

P Mannocci, M Farronato, N Lepri, L Cattaneo… - APL Machine …, 2023 - pubs.aip.org
In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …

Memristive synapses and neurons for bioinspired computing

R Yang, HM Huang, X Guo - Advanced Electronic Materials, 2019 - Wiley Online Library
To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …

Observation of conducting filament growth in nanoscale resistive memories

Y Yang, P Gao, S Gaba, T Chang, X Pan… - Nature communications, 2012 - nature.com
Nanoscale resistive switching devices, sometimes termed memristors, have recently
generated significant interest for memory, logic and neuromorphic applications. Resistive …