Multi-state memristors and their applications: An overview

C Wang, Z Si, X Jiang, A Malik, Y Pan… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Memristors show great potential for being integrated into CMOS technology and provide
new approaches for designing computing-in-memory (CIM) systems, brain-inspired …

Neuropack: An algorithm-level python-based simulator for memristor-empowered neuro-inspired computing

J Huang, S Stathopoulos, A Serb… - Frontiers in …, 2022 - frontiersin.org
Emerging two-terminal nanoscale memory devices, known as memristors, have
demonstrated great potential for implementing energy-efficient neuro-inspired computing …

A cmol-like memristor-cmos neuromorphic chip-core demonstrating stochastic binary stdp

LA Camuñas-Mesa, E Vianello, C Reita… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
The advent of nanoscale memristors raised hopes of being able to build CMOL
(CMOS/nanowire/molecular) type ultra-dense in-memory-computing circuit architectures. In …

An FPGA-based system for generalised electron devices testing

P Foster, J Huang, A Serb, S Stathopoulos… - Scientific Reports, 2022 - nature.com
Electronic systems are becoming more and more ubiquitous as our world digitises.
Simultaneously, even basic components are experiencing a wave of improvements with new …

RRAM, device, model and memory

A Alshaya, Q Han… - … on Microelectronics (ICM), 2022 - ieeexplore.ieee.org
The memristor is an innovative passive electrical device that has gained popularity in recent
years as a potential candidate for next-generation non-volatile memory (NVM) and analog …

Selectively biased tri-terminal vertically-integrated memristor configuration

V Manouras, S Stathopoulos, A Serb… - Scientific Reports, 2022 - nature.com
Memristors, when utilized as electronic components in circuits, can offer opportunities for the
implementation of novel reconfigurable electronics. While they have been used in large …

Memristive properties of manganite-based planar structures

NA Tulina, IM Shmytko, AA Ivanov… - Russian …, 2022 - Springer
The mechanisms of physical processes at the metal/La1–x Sr x MnO3 manganite interfaces
that determine the memristive properties of structures based on them were investigated …

A high-voltage characterisation platform for emerging resistive switching technologies

J Shen, A Mifsud, L Xie, A Alshaya… - … on Circuits and …, 2022 - ieeexplore.ieee.org
Emerging memristor-based array architectures have been effectively employed in non-
volatile memories and neuro-morphic computing systems due to their density, scalability and …

Dataset supporting University of Southampton Doctoral thesis' Memristor-based Spiking Neural Networks'

J Huang - 2022 - eprints.soton.ac.uk
Dataset for the thesis' Memristor-based Spiking Neural Networks'. This dataset contains two
Github repositories containing the original source code for content in Chapt 4 & 5 of the …

Measured behaviour of a memristor‐based tuneable instrumentation amplifier

F Yang, A Serb, T Prodromakis - Electronics Letters, 2022 - Wiley Online Library
A memristor‐based tuneable instrumentation amplifier whose gain value can be adjusted by
memristor is implemented and measured. While memristive devices are suitable for …