Results 61 to 70 of about 4,407 (266)

Effects of Parasitic Fractional Elements to the Dynamics of Memristor

Journal of Electrical and Computer Engineering, 2019
In this research, we study the effects of the parasitic fractional elements to the dynamic of the memristor where both flux- and charge-controlled memristors have been considered. For doing so, the fractional differential equation-based approach has been
Rawid Banchuin
doaj   +1 more source

Compensating Circuit to Reduce the Impact of Wire Resistance in a Memristor Crossbar-Based Perceptron Neural Network

Micromachines, 2019
Wire resistance in metal wire is one of the factors that degrade the performance of memristor crossbar circuits. In this paper, an analysis of the impact of wire resistance in a memristor crossbar is performed and a compensating circuit is proposed to ...
Son Ngoc Truong
doaj   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

WS2 Optoelectronic Memristive Reservoir Enabling Ultra‐Low‐Power, Multi‐Task, and Environmentally Stable Neuromorphic Computing

Advanced Science, EarlyView.
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar, Hanrui Li, Divyanshu Divyanshu, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Amit Singh, Abdul Momin Syed, Selma Amara, Gianluca Setti, Nazek El‐Atab   +9 more
wiley   +1 more source

An improved crossbar array of memristor

Journal of Measurement Science and Instrumentation, 2017
This paper conducts an analysis of HP model of a memristor and memory cells of a differential type memristor,forms a classic array of the memristor using the HP model,and does the stimulation of its storage capacity.Based on differential type memristor ...
YANG Li-bo, ZHANG Xiao-yong, LIANG Wei-ze, Dept.of Computer Engineering, Taiyuan University, Key Laboratory of Instrumentation Science & Dynamic Measurement   +5 more
doaj  

Exact Analysis and Physical Realization of the 6-Lobe Chua Corsage Memristor

Complexity, 2018
A novel generic memristor, dubbed the 6-lobe Chua corsage memristor, is proposed with its nonlinear dynamical analysis and physical realization. The proposed corsage memristor contains four asymptotically stable equilibrium points on its complex and ...
Zubaer I. Mannan, Changju Yang, Shyam P. Adhikari, Hyongsuk Kim   +3 more
doaj   +1 more source

The Extended Linear-Drift Model of Memristor and Its Piecewise Linear Approximation

Tsinghua Science and Technology, 2014
Memristor is introduced as the fourth basic circuit element. Memristor exhibits great potential for numerous applications, such as emulating synapse, while the mathematical model of the memristor is still an open subject.
Xiaomu Mu, Juntang Yu, Shuning Wang
doaj   +1 more source

PZT optical memristors

Nature Communications
Optical memristors represent a monumental leap in the fusion of photonics and electronics, heralding a new era of applications from neuromorphic computing to artificial intelligence. However, current technologies are hindered by complex fabrication, limited endurance, high optical loss or low modulation depth.
Chenlei Li, Hongyan Yu, Tao Shu, Yueyang Zhang, Chengfeng Wen, Hengzhen Cao, Jin Xie, Hanwen Li, Zixu Xu, Gong Zhang, Zejie Yu, Huan Li, Liu Liu, Yaocheng Shi, Feng Qiu, Daoxin Dai   +15 more
openaire   +3 more sources

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source