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 …
Nanomaterials for flexible neuromorphics
G Ding, H Li, JY Zhao, K Zhou, Y Zhai, Z Lv… - Chemical …, 2024 - ACS Publications
The quest to imbue machines with intelligence akin to that of humans, through the
development of adaptable neuromorphic devices and the creation of artificial neural …
development of adaptable neuromorphic devices and the creation of artificial neural …
A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits
As data processing volume increases, the limitations of traditional computers and the need
for more efficient computing methods become evident. Neuromorphic computing mimics the …
for more efficient computing methods become evident. Neuromorphic computing mimics the …
Transition of short-term to long-term memory of Cu/TaOx/CNT conductive bridge random access memory for neuromorphic engineering
This work presents the resistive switching characteristics of the TaO x-based conductive-
bridge random-access memory (CBRAM) for neuromorphic engineering. Controlling the Cu …
bridge random-access memory (CBRAM) for neuromorphic engineering. Controlling the Cu …
Graphene and MXene Based Free‐Standing Carbon Memristors for Flexible 2D Memory Applications
S Fatima, X Bin, MA Mohammad… - Advanced Electronic …, 2022 - Wiley Online Library
Abstract 2D carbon materials are examined extensively by virtue of having functional‐
groups richness and adaptable interlayer spacing with exquisite electrochemical …
groups richness and adaptable interlayer spacing with exquisite electrochemical …
Review of electrochemically synthesized resistive switching devices: memory storage, neuromorphic computing, and sensing applications
Resistive-switching-based memory devices meet most of the requirements for use in next-
generation information and communication technology applications, including standalone …
generation information and communication technology applications, including standalone …
Thermal management in neuromorphic materials, devices, and networks
Abstract Machine learning has experienced unprecedented growth in recent years, often
referred to as an “artificial intelligence revolution.” Biological systems inspire the …
referred to as an “artificial intelligence revolution.” Biological systems inspire the …
Resistive switching properties in memristors for optoelectronic synaptic memristors: deposition techniques, key performance parameters, and applications
R Khan, NU Rehman, S Iqbal, S Abdullaev… - ACS Applied …, 2023 - ACS Publications
Due to the fast evolution of information technology, high-speed and scalable memory
devices are being investigated for data storage and data-driven computation. Resistive …
devices are being investigated for data storage and data-driven computation. Resistive …
Emerging optical in‐memory computing sensor synapses based on low‐dimensional nanomaterials for neuromorphic networks
Emerging optical synapses with in‐memory computing sensor (IMCS) performance are
considered to be one of the most effective candidates to circumvent the bottleneck of the …
considered to be one of the most effective candidates to circumvent the bottleneck of the …
Resistive Switching Behavior Employing the Ipomoea carnea Plant for Biodegradable Rewritable Read-Only Memory Applications
Development of biocompatible and biodegradable information storage could be one of the
major strides toward the advancement of the next-generation eco-friendly electronics …
major strides toward the advancement of the next-generation eco-friendly electronics …