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 …

A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits

B Walters, MV Jacob, A Amirsoleimani… - Advanced Intelligent …, 2023 - Wiley Online Library
As data processing volume increases, the limitations of traditional computers and the need
for more efficient computing methods become evident. Neuromorphic computing mimics the …

Bidirectional All‐Optical Synapses Based on a 2D Bi2O2Se/Graphene Hybrid Structure for Multifunctional Optoelectronics

CM Yang, TC Chen, D Verma, LJ Li… - Advanced Functional …, 2020 - Wiley Online Library
Neuromorphic computing has been extensively studied to mimic the brain functions of
perception, learning, and memory because it may overcome the von Neumann bottleneck …

Perovskite material-based memristors for applications in information processing and artificial intelligence

M Liu, Z Cao, X Wang, S Mao, J Qin, Y Yang… - Journal of Materials …, 2023 - pubs.rsc.org
The emergence of memristive devices plays a significant role to promoting the development
of electronics in the post-Moore era, especially in the fields of information storage, artificial …

[HTML][HTML] Retention enhancement through capacitance-dependent voltage division analysis in 3D stackable TaOx/HfO2-based selectorless memristor

JH Sung, JH Park, DS Jeon, D Kim, MJ Yu, AC Khot… - Materials & Design, 2021 - Elsevier
Sneak path current generated by adjacent cells in three-dimensional (3D) memristor arrays
must be curbed while securing the multi-bit storage capability of each cell to aid in the cost …

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 …

Towards an universal artificial synapse using MXene-PZT based ferroelectric memristor

M Zhang, Q Qin, X Chen, R Tang, A Han, S Yao… - Ceramics …, 2022 - Elsevier
To address the challenge of memory wall, memristor is a breakthrough for the hardware
realization of computation in memory (CIM). As a promising candidate for the resistive …

Nanomaterials and their applications on bio-inspired wearable electronics

J Li, M Xin, Z Ma, Y Shi, L Pan - Nanotechnology, 2021 - iopscience.iop.org
Wearable electronics featuring conformal attachment, sensitive perception and intellectual
signal processing have made significant progress in recent years. However, when …

Memristive non-volatile memory based on graphene materials

Z Shen, C Zhao, Y Qi, IZ Mitrovic, L Yang, J Wen… - Micromachines, 2020 - mdpi.com
Resistive random access memory (RRAM), which is considered as one of the most
promising next-generation non-volatile memory (NVM) devices and a representative of …

Research progress of biomimetic memristor flexible synapse

H Zhang, R Liu, H Zhao, Z Sun, Z Liu, L He, Y Li - Coatings, 2021 - mdpi.com
With the development of the Internet of things, artificial intelligence, and wearable devices,
massive amounts of data are generated and need to be processed. High standards are …