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 …
Decade of 2D-materials-based RRAM devices: a review
Two dimensional (2D) materials have offered unique electrical, chemical, mechanical and
physical properties over the past decade owing to their ultrathin, flexible, and multilayer …
physical properties over the past decade owing to their ultrathin, flexible, and multilayer …
Graphene/MoS2−xOx/graphene photomemristor with tunable non-volatile responsivities for neuromorphic vision processing
Conventional artificial intelligence (AI) machine vision technology, based on the von
Neumann architecture, uses separate sensing, computing, and storage units to process …
Neumann architecture, uses separate sensing, computing, and storage units to process …
Tantalum pentoxide (Ta2O5 and Ta2O5-x)-based memristor for photonic in-memory computing application
Photonic in-memory computing exhibits promising potential to address the inherent
limitations of traditional von Neumann architecture. In this study, we demonstrate a tantalum …
limitations of traditional von Neumann architecture. In this study, we demonstrate a tantalum …
Multilevel resistive switching memristor based on silk fibroin/graphene oxide with image reconstruction functionality
S Liu, Y Cheng, F Han, S Fan, Y Zhang - Chemical Engineering Journal, 2023 - Elsevier
Multilevel storage memristors have great potential for use in neuromorphic computing, high-
density storage, and the creation of artificial synapses. In this work, we report a multilevel …
density storage, and the creation of artificial synapses. In this work, we report a multilevel …
The strategies of filament control for improving the resistive switching performance
With the rapid application of artificial intelligence in daily life and work, the traditional von
Neumann architecture device faces the limitation of scalability and high energy …
Neumann architecture device faces the limitation of scalability and high energy …
Solution-processed memristors: performance and reliability
Memristive devices are gaining importance in the semiconductor industry for applications in
information storage, artificial intelligence cryptography and telecommunication. Memristive …
information storage, artificial intelligence cryptography and telecommunication. Memristive …
Circuit‐level memory technologies and applications based on 2D materials
Memory technologies and applications implemented fully or partially using emerging 2D
materials have attracted increasing interest in the research community in recent years. Their …
materials have attracted increasing interest in the research community in recent years. Their …
Oxygen Vacancy Transition in HfOx‐Based Flexible, Robust, and Synaptic Bi‐Layer Memristor for Neuromorphic and Wearable Applications
In this work, a reliable bilayer flexible memristor is demonstrated using TaOx/HfOx Bi‐layer
(BL) to mimic synaptic characteristics by using oxygen concentration engineering in the …
(BL) to mimic synaptic characteristics by using oxygen concentration engineering in the …
Emerging of two-dimensional materials in novel memristor
The rapid development of big-data analytics (BDA), internet of things (IoT) and artificial
intelligent Technology (AI) demand outstanding electronic devices and systems with faster …
intelligent Technology (AI) demand outstanding electronic devices and systems with faster …