Resistive random access memory (RRAM): an overview of materials, switching mechanism, performance, multilevel cell (MLC) storage, modeling, and applications
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 …
technology which is considered one of the most standout emerging memory technologies …
A comprehensive review on emerging artificial neuromorphic devices
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
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 …
scalable memory technologies are being researched for data storage and data-driven …
Recent progress in resistive random access memories: Materials, switching mechanisms, and performance
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 …
so-called resistive random access memories (RRAMs). First, a brief introduction is presented …
Memristive devices for computing
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 …
resistance based on the history of applied voltage and current. These devices can store and …
Synaptic electronics: materials, devices and applications
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 …
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 …
cognition, with extremely low power consumption and low frequency of neuronal spiking …
In-memory computing with emerging memory devices: Status and outlook
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 …
suppress the memory bottleneck, which is the major concern for energy efficiency and …
Memristive synapses and neurons for bioinspired computing
To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …
Observation of conducting filament growth in nanoscale resistive memories
Nanoscale resistive switching devices, sometimes termed memristors, have recently
generated significant interest for memory, logic and neuromorphic applications. Resistive …
generated significant interest for memory, logic and neuromorphic applications. Resistive …