Results 111 to 120 of about 11,144 (308)

Polymer memristor for information storage and neuromorphic applications

, 2014
Polymermaterials have been considered as promising candidates for the implementation of memristor devices due to their low-cost, easy solution processability, mechanical flexibility and ductibility, tunable electronic performance through innovative ...
Liu, Gang, Wang, Luxing, Wang, Cheng, Zhang, Wenbin, Chen, Yu, Li, Run-Wei   +5 more
core  

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

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

LinearandNonlinearModelsofHPTiO₂MemristorandTheirPrintfingerAnalyses

工程科学与技术, 2014
:To analyze the printfingers of HP TiO2 memristor model and compare the differences between the printfingers of the basic model and nonlinear window function models, the features of several typical HP TiO2 memristor nonlinear window function models were ...
doaj  

MEMRISTOR BASED SALLEN-KEY FILTERS [PDF]

, 2015
In 1971, memristor is claimed as a missing circuit element and almost 40 years later than its prediction a memristive system behaving as a memristor has been found in 2008.
Mutlu, Reşat, H. Hakan Kuntman, Kuntman, Hulusi Hakan, Resat Mutlu, Yener, Şuayb Çağrı   +4 more
core  

Memristor-based filtering applications

, 2013
The use of the memristor as a programmable resistance permits the realization of memristor-based analog circuits with flexible features. This work gains some insight on memristor-based filtering applications.
Alon Ascoli, Miroslav Mirchev, Fernando Corinto, R. Tetzlaff, Marco Gilli   +4 more
core   +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

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

Energy-Efficient Neuromorphic Architectures for Nuclear Radiation Detection Applications

Sensors
A comprehensive analysis and simulation of two memristor-based neuromorphic architectures for nuclear radiation detection is presented. Both scalable architectures retrofit a locally competitive algorithm to solve overcomplete sparse approximation ...
Jorge I. Canales-Verdial, Jamison R. Wagner, Landon A. Schmucker, Mark Wetzel, Philippe Proctor, Merlin Carson, Jian Meng, Nathan J. Withers, Charles Thomas Harris, John J. Nogan, Denise B. Webb, Adam A. Hecht, Christof Teuscher, Marek Osiński, Payman Zarkesh-Ha   +14 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