Results 71 to 80 of about 4,407 (266)

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Memristor Emulator Circuits: Recent Advances in Design Methodologies, Healthcare Applications, and Future Prospects

Micromachines
Memristors, as the fourth fundamental circuit element, have attracted significant interest for their potential in analog signal processing, computing, and memory storage technologies.
Amel Neifar, Imen Barraj, Hassen Mestiri, Mohamed Masmoudi   +3 more
doaj   +1 more source

Quantitative Analysis of Memristance Defined Exponential Model for Multi-bits Titanium Dioxide Memristor Memory Cell

Advances in Electrical and Computer Engineering, 2016
The ability to store multiple bits in a single memristor based memory cell is a key feature for high-capacity memory packages. Studying multi-bit memristor circuits requires high accuracy in modelling the memristance change.
DAOUD, A. A. D., DESSOUKI, A. A. S., ABUELENIN, S. M.   +2 more
doaj   +1 more source

Molecular Crystal Memristor

Nature Nanotechnology
Abstract The emergence of memristors offers a revolutionary solution for achieving in-memory computing at the hardware level. However, existing memristors suffer from the inherent channel materials damage during cyclical resistive switching, rendering excessive energy consumption and poor endurance.
Lanhao Qin, Pengfei Guan, Jiefan Shao, Yu Xiao, Yimeng Yu, Jie Su, Conghui Zhang, Yanyong Li, Shenghong Liu, Pengyu Li, Decai Ouyang, Wenke He, Fenghao Liu, Kaichen Zhu, Kailang Liu, Zhenpeng Yao, Jinsong Wu, Yinghe Zhao, Huiqiao Li, Fei Hui, Peng Lin, Mario Lanza, Yuan Li, Tianyou Zhai   +23 more
openaire   +2 more sources

Sub‐Terahertz Memristor Switches Using MoS2 by Liquid–Liquid Interface Assembly

Advanced Science, EarlyView.
This work introduces application‐ready sub‐terahertz memristor switches fabricated from electrochemically exfoliated MoS2 nanosheets assembled at a liquid–liquid interface. The devices exhibit robust unipolar resistive switching, low insertion loss, and high isolation across 10–110 GHz.
Tomás Mingates, Mohamed E. Ghatas, Jonas Deuermeier, Adam G. Kelly, Joseph Neilson, Jonathan N. Coleman, Luís Mendes, João C. Vaz, Sérgio Matos, Luca Lucci, Antonio Clemente, Zdeněk Sofer, Luís M. Pessoa, Elvira Fortunato, Rodrigo Martins, Asal Kiazadeh   +15 more
wiley   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Research on the stability of memristive neural network based on MNIST

Dianzi Jishu Yingyong, 2019
The stability problem of memristor may affect the performance of memristive neural network. In order to explore it, a memristive back propagation(BP) neural network, in which the memristors are the synapses, is constructed based on the equivalent ...
Tian Ye, Zhu Ruohua, Tang Zhiri, Chang Sheng   +3 more
doaj   +1 more source

Dual‐Mode Nanoporous SiO2 Memristors with Coexisting Volatile and Nonvolatile Dynamics for Reservoir Computing

Advanced Science, EarlyView.
A nanoporous SiO2 memristor enabling reconfigurable volatile and non‐volatile switching within a single device is demonstrated. The dual‐mode functionality supports both physical reservoir dynamics and synaptic weight storage, allowing unified hardware implementation of reservoir computing for temporal information processing, including image and ...
Bohao Ding, Tongjun Zhang, Li Shao, Nikolay Zhelev, Andrew L. Hector, Ruomeng Huang   +5 more
wiley   +1 more source

Parasitic Memcapacitor Effects on HP TiO₂ Memristor Dynamics

IEEE Access, 2019
In this paper, we study an HP TiO2 memristor model with a parasitic memcapacitor, and it is shown that the parasitic element has significant effects on the volt-ampere characteristics and the dynamics of the memristor circuits.
Yiran Shen, Guangyi Wang, Yan Liang, Simin Yu, Herbert Ho-Ching Iu   +4 more
doaj   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source