Advances of RRAM devices: Resistive switching mechanisms, materials and bionic synaptic application

Z Shen, C Zhao, Y Qi, W Xu, Y Liu, IZ Mitrovic, L Yang… - Nanomaterials, 2020 - mdpi.com
Resistive random access memory (RRAM) devices are receiving increasing extensive
attention due to their enhanced properties such as fast operation speed, simple device …

Multi-level resistive switching in hafnium-oxide-based devices for neuromorphic computing

M Hellenbrand, J MacManus-Driscoll - Nano Convergence, 2023 - Springer
In the growing area of neuromorphic and in-memory computing, there are multiple reviews
available. Most of them cover a broad range of topics, which naturally comes at the cost of …

Copolymers of 3-arylthieno [3, 2-b] thiophenes bearing different substituents: synthesis, electronic, optical, sensor and memory properties

D Gunturkun, R Isci, B Sütay, LA Majewski… - European Polymer …, 2022 - Elsevier
Thienothiophene (TT) is one of the most impressive organic cores, and has gained
significant attention in the organic polymeric materials in recent years. Possessing cyano …

Towards engineering in memristors for emerging memory and neuromorphic computing: A review

AS Sokolov, H Abbas, Y Abbas… - Journal of …, 2021 - iopscience.iop.org
Resistive random-access memory (RRAM), also known as memristors, having a very simple
device structure with two terminals, fulfill almost all of the fundamental requirements of …

Linearity improvement of HfOx-based memristor with multilayer structure

Y Jiang, K Zhang, K Hu, Y Zhang, A Liang… - Materials Science in …, 2021 - Elsevier
The limitation of traditional Von Neumann architecture could be resolved by machine
learning training in neuromorphic computing. However, the nonlinearity characteristic during …

Applications of Ion Beam Irradiation in multifunctional oxide thin films: A Review

X Xiang, Z He, J Rao, Z Fan, X Wang… - ACS Applied Electronic …, 2021 - ACS Publications
Multifunctional oxide thin films exhibit a broad palette of properties, such as ferroelectricity,
piezoelectricity, dielectricity, superconductivity, and metal-insulator transition (MIT); …

Oxide-based filamentary RRAM for deep learning

Y Zhang, P Huang, B Gao, J Kang… - Journal of Physics D …, 2020 - iopscience.iop.org
We provide an overview of the field of oxide-based filamentary resistive random access
memory (RRAM) for deep learning neural networks (DNNs). After introducing the electrical …

[HTML][HTML] Spike-time dependent plasticity of tailored ZnO nanorod-based resistive memory for synaptic learning

SV Patil, NB Mullani, K Nirmal, G Hyun… - Journal of Science …, 2023 - Elsevier
Metal oxide resistive memory is a potential device that can substantially influence the current
roadmap for nonvolatile memory and neuromorphic computing. However, common …

Kinetic Monte Carlo analysis of data retention in Al: HfO2-based resistive random access memories

S Aldana, E Pérez, F Jiménez-Molinos… - Semiconductor …, 2020 - iopscience.iop.org
Abstract Kinetic Monte Carlo resistive random access memory simulations are used to
understand different retention experiments performed at several temperatures. The physics …

Effect of electrode area on resistive switching behavior in translucent solution-processed AlOx based memory device

Y Qi, Z Shen, C Zhao, CZ Zhao - Journal of Alloys and Compounds, 2020 - Elsevier
A translucent resistance random access memory (RRAM) device with Ag/AlO x/indium tin
oxide (ITO) stack grown on a glass substrate were fabricated. The effect of the electrode …