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 …
Review of memristor devices in neuromorphic computing: materials sciences and device challenges
The memristor is considered as the one of the promising candidates for next generation
computing systems. Novel computing architectures based on memristors have shown great …
computing systems. Novel computing architectures based on memristors have shown great …
[HTML][HTML] Analog architectures for neural network acceleration based on non-volatile memory
Analog hardware accelerators, which perform computation within a dense memory array,
have the potential to overcome the major bottlenecks faced by digital hardware for data …
have the potential to overcome the major bottlenecks faced by digital hardware for data …
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 …
Extremely low operating current resistive memory based on exfoliated 2D perovskite single crystals for neuromorphic computing
Extremely low energy consumption neuromorphic computing is required to achieve
massively parallel information processing on par with the human brain. To achieve this goal …
massively parallel information processing on par with the human brain. To achieve this goal …
Metal–oxide RRAM
In this paper, recent progress of binary metal–oxide resistive switching random access
memory (RRAM) is reviewed. The physical mechanism, material properties, and electrical …
memory (RRAM) is reviewed. The physical mechanism, material properties, and electrical …
Oxide-based RRAM materials for neuromorphic computing
XL Hong, DJJ Loy, PA Dananjaya, F Tan… - Journal of materials …, 2018 - Springer
In this review, a comprehensive survey of different oxide-based resistive random-access
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …
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 …
Investigating the switching dynamics and multilevel capability of bipolar metal oxide resistive switching memory
HfO x/AlO x bilayer resistive switching devices were fabricated for the study of the switching
dynamics of the metal oxide memory. An exponential voltage-time relationship was …
dynamics of the metal oxide memory. An exponential voltage-time relationship was …