A review of memristor: material and structure design, device performance, applications and prospects
Y Xiao, B Jiang, Z Zhang, S Ke, Y Jin… - … and Technology of …, 2023 - Taylor & Francis
With the booming growth of artificial intelligence (AI), the traditional von Neumann
computing architecture based on complementary metal oxide semiconductor devices are …
computing architecture based on complementary metal oxide semiconductor devices are …
Highly Efficient Invisible TaOx/ZTO Bilayer Memristor for Neuromorphic Computing and Image Sensing
D Kumar, S Shrivastava, A Saleem… - ACS Applied …, 2022 - ACS Publications
In today's new era, multifunctional devices are most prominent due to their compact design,
reduction in operating cost, and reduced need of being limited to single functional devices …
reduction in operating cost, and reduced need of being limited to single functional devices …
Transformation of digital to analog switching in TaOx-based memristor device for neuromorphic applications
A Saleem, FM Simanjuntak, S Chandrasekaran… - Applied Physics …, 2021 - pubs.aip.org
An oxidizable metal diffusion barrier inserted between the active metal electrode and the
switching layer decreases the electroforming voltage and enhances the switching stability …
switching layer decreases the electroforming voltage and enhances the switching stability …
All oxide based flexible multi-folded invisible synapse as vision photo-receptor
PX Chen, D Panda, TY Tseng - Scientific reports, 2023 - nature.com
All oxide-based transparent flexible memristor is prioritized for the potential application in
artificially simulated biological optoelectronic synaptic devices. SnOx memristor with HfOx …
artificially simulated biological optoelectronic synaptic devices. SnOx memristor with HfOx …
Enhanced linearity in CBRAM synapse by post oxide deposition annealing for neuromorphic computing applications
Artificial synapse with good linearity is a critical issue in conductive bridging random access
memory (CBRAM) synaptic device to accomplish an efficient learning approach in the …
memory (CBRAM) synaptic device to accomplish an efficient learning approach in the …
Interface ion-driven, highly stable synaptic memristor for neuromorphic applications
Because of the continual advancements in the artificial intelligence technology, its practical
applications (eg, in computer vision, health care, and pattern recognition) are expanding …
applications (eg, in computer vision, health care, and pattern recognition) are expanding …
Fast, Highly Flexible, and Transparent TaOx-Based Environmentally Robust Memristors for Wearable and Aerospace Applications
Memristor devices that can operate at high speed with high density and nonvolatile
capabilities have great potential for the development of high data storage and robust …
capabilities have great potential for the development of high data storage and robust …
Zn2SnO4 Thin Film Based Nonvolatile Positive Optoelectronic Memory for Neuromorphic Computing
S Shrivastava, YT Lin, B Pattanayak… - ACS Applied …, 2022 - ACS Publications
An optoelectronic synaptic device based on the ITO/Zn2SnO4 (ZTO)/ITO structure is
fabricated which integrates the electronic memory and optical sensing properties along with …
fabricated which integrates the electronic memory and optical sensing properties along with …
Engineering synaptic plasticity through the control of oxygen vacancy concentration for the improvement of learning accuracy in a Ta2O5 memristor
HG Hwang, Y Pyo, JU Woo, IS Kim, SW Kim… - Journal of Alloys and …, 2022 - Elsevier
Ta 2 O 5 memristors exhibit bipolar switching properties attributable to the growth and
destruction of oxygen vacancy filaments (OVFs). The transmission properties of biological …
destruction of oxygen vacancy filaments (OVFs). The transmission properties of biological …
Uniform resistive switching and highly stable synaptic characteristics of HfOx sandwiched TaOx-based memristor for neuromorphic system
Emerging nanoscale devices, including memristors, have been extensively studied to
implement biological synaptic functions such as learning and plasticity, which are the …
implement biological synaptic functions such as learning and plasticity, which are the …