Recent progress on emerging transistor‐based neuromorphic devices
Human brain outperforms the current von Neumann digital computer in many aspects, such
as energy efficiency and fault‐tolerance. Inspired by human brain, neuromorphic …
as energy efficiency and fault‐tolerance. Inspired by human brain, neuromorphic …
Discrete memristor and discrete memristive systems
In this paper, we investigate the mathematical models of discrete memristors based on
Caputo fractional difference and G–L fractional difference. Specifically, the integer-order …
Caputo fractional difference and G–L fractional difference. Specifically, the integer-order …
Retention Secured Nonlinear and Self‐Rectifying Analog Charge Trap Memristor for Energy‐Efficient Neuromorphic Hardware
A memristive crossbar array (MCA) is an ideal platform for emerging memory and
neuromorphic hardware due to its high bitwise density capability. A charge trap memristor …
neuromorphic hardware due to its high bitwise density capability. A charge trap memristor …
Probabilistic computing with NbOx metal-insulator transition-based self-oscillatory pbit
Energy-based computing is a promising approach for addressing the rising demand for
solving NP-hard problems across diverse domains, including logistics, artificial intelligence …
solving NP-hard problems across diverse domains, including logistics, artificial intelligence …
Analog-to-digital and self-rectifying resistive switching behavior based on flower-like δ-MnO2
Memristors can be divided into two types, analog and digital, according to the characteristics
of current gradients and sudden changes. It is particularly important to realize analog and …
of current gradients and sudden changes. It is particularly important to realize analog and …
Defect-Engineered Electroforming-Free Analog HfOx Memristor and Its Application to the Neural Network
The thin-film growth conditions in a plasma-enhanced atomic layer deposition for the (3.0–
4.5) nm thick HfO2 film were optimized to use the film as the resistive switching element in a …
4.5) nm thick HfO2 film were optimized to use the film as the resistive switching element in a …
Simulation of low power self-selective memristive neural networks for in situ digital and analogue artificial neural network applications
C Tsioustas, P Bousoulas, J Hadfield… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Self-selective memory devices are considered promising candidates for suppressing the
undesired sneak path currents that appear within crossbar memory structures and …
undesired sneak path currents that appear within crossbar memory structures and …
Deterministic Conductive Filament Formation and Evolution for Improved Switching Uniformity in Embedded Metal-Oxide-Based Memristors─ A Phase-Field Study
The extreme device-to-device variation of switching performance is one of the major
obstacles preventing the applications of metal-oxide-based memristors in large-scale …
obstacles preventing the applications of metal-oxide-based memristors in large-scale …
Implementation of simple but powerful trilayer oxide-based artificial synapses with a tailored bio-synapse-like structure
H Zhang, X Ju, KS Yew, DS Ang - ACS applied materials & …, 2019 - ACS Publications
The ultimate aim of artificial synaptic devices is to mimic the features of biological synapses
as closely as possible, in particular, its ability of self-adjusting the synaptic weight …
as closely as possible, in particular, its ability of self-adjusting the synaptic weight …
Dynamical investigation and chaotic associated behaviors of memristor Chua's circuit with a non-ideal voltage-controlled memristor and its application to voice …
In this paper we modified the conventional Chua's circuit with a non-ideal voltage-controlled
memristor with a quadratic internal state. Dynamical behaviors of Modified Memristor based …
memristor with a quadratic internal state. Dynamical behaviors of Modified Memristor based …