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 …
The future of memristors: Materials engineering and neural networks
K Sun, J Chen, X Yan - Advanced Functional Materials, 2021 - Wiley Online Library
Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …
booming, and neural networks have become the hot research direction. However, due to the …
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 …
Advances of RRAM devices: Resistive switching mechanisms, materials and bionic synaptic application
Resistive random access memory (RRAM) devices are receiving increasing extensive
attention due to their enhanced properties such as fast operation speed, simple device …
attention due to their enhanced properties such as fast operation speed, simple device …
[HTML][HTML] Brain-inspired computing with memristors: Challenges in devices, circuits, and systems
This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …
computing with memristors. We review the mechanisms of various memristive devices that …
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 …
Emerging neuromorphic devices
D Ielmini, S Ambrogio - Nanotechnology, 2019 - iopscience.iop.org
Artificial intelligence (AI) has the ability of revolutionizing our lives and society in a radical
way, by enabling machine learning in the industry, business, health, transportation, and …
way, by enabling machine learning in the industry, business, health, transportation, and …
Stimuli‐responsive memristive materials for artificial synapses and neuromorphic computing
Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …
more energy‐efficient way than the conventional von Neumann computing architecture …
An electronic synapse device based on metal oxide resistive switching memory for neuromorphic computation
The multilevel capability of metal oxide resistive switching memory was explored for the
potential use as a single-element electronic synapse device. TiN/HfO x/AlO x/Pt resistive …
potential use as a single-element electronic synapse device. TiN/HfO x/AlO x/Pt resistive …
A Review on Dielectric Breakdown in Thin Dielectrics: Silicon Dioxide, High‐k, and Layered Dielectrics
F Palumbo, C Wen, S Lombardo… - Advanced Functional …, 2020 - Wiley Online Library
Thin dielectric films are essential components of most micro‐and nanoelectronic devices,
and they have played a key role in the huge development that the semiconductor industry …
and they have played a key role in the huge development that the semiconductor industry …