Results 51 to 60 of about 3,602 (165)

Mimicking neural habituation behavior with pristine leaf-based memristors [PDF]

APL Electronic Devices
Neuromorphic computing systems allow electronics to mimic the behavior of biological neurons and hold potential for high-efficiency computation needed for artificial intelligence.
Andrew J. Savage, Samantha S. Wilder, Ramesh Y. Adhikari   +2 more
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Efficient implementation of the Hodgkin-Huxley potassium channel via a single volatile memristor

Frontiers in Neuroscience
IntroductionIn 2012, potassium and sodium ion channels in Hodgkin-Huxley-based brain models were shown to exhibit memristive behavior. This positioned memristors as strong candidates for implementing biologically accurate artificial neurons.
Lennart P. L. Landsmeer, Lennart P. L. Landsmeer, Erbing Hua, Heba Abunahla, Muhammad Ali Siddiqi, Muhammad Ali Siddiqi, Muhammad Ali Siddiqi, Ryoichi Ishihara, Chris I. De Zeeuw, Chris I. De Zeeuw, Said Hamdioui, Christos Strydis, Christos Strydis   +12 more
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Overview of amorphous carbon memristor device, modeling, and applications for neuromorphic computing

Nanotechnology Reviews
Carbon-based materials strongly pertain to citizens’ daily life due to their versatile derivatives such as diamond, graphite, fullerenes, carbon nanotube, single-layer graphene, and amorphous carbon (a-C).
Wu Jie, Yang Xuqi, Chen Jing, Li Shiyu, Zhou Tianchen, Cai Zhikuang, Lian Xiaojuan, Wang Lei   +7 more
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Transfer-Free Analog and Digital Flexible Memristors Based on Boron Nitride Films

Nanomaterials
The traditional von Neumann architecture of computers, constrained by the inherent separation of processing and memory units, faces challenges, for instance, memory wall issue.
Sibo Wang, Xiuhuan Liu, Han Yu, Xiaohang Liu, Jihong Zhao, Lixin Hou, Yanjun Gao, Zhanguo Chen   +7 more
doaj   +1 more source

Weighted Echo State Graph Neural Networks Based on Robust and Epitaxial Film Memristors

Advanced Science
Hardware system customized toward the demands of graph neural network learning would promote efficiency and strong temporal processing for graph‐structured data.
Zhenqiang Guo, Guojun Duan, Yinxing Zhang, Yong Sun, Weifeng Zhang, Xiaohan Li, Haowan Shi, Pengfei Li, Zhen Zhao, Jikang Xu, Biao Yang, Yousef Faraj, Xiaobing Yan   +12 more
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Filamentary-based organic memristors for wearable neuromorphic computing systems

Neuromorphic Computing and Engineering
A filamentary-based organic memristor is a promising synaptic component for the development of neuromorphic systems for wearable electronics. In the organic memristors, metallic conductive filaments (CF) are formed via electrochemical metallization under
Chang-Jae Beak, Jihwan Lee, Junseok Kim, Jiwoo Park, Sin-Hyung Lee   +4 more
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Ultra-fast switching memristors based on two-dimensional materials

Nature Communications
The ability to scale two-dimensional (2D) material thickness down to a single monolayer presents a promising opportunity to realize high-speed energy-efficient memristors. Here, we report an ultra-fast memristor fabricated using atomically thin sheets of
S. S. Teja Nibhanupudi, Anupam Roy, Dmitry Veksler, Matthew Coupin, Kevin C. Matthews, Matthew Disiena, Ansh, Jatin V. Singh, Ioana R. Gearba-Dolocan, Jamie Warner, Jaydeep P. Kulkarni, Gennadi Bersuker, Sanjay K. Banerjee   +12 more
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Perovskite‐Nanowire‐Array‐Based Continuous‐State Programmable Artificial Synapse for Neuromorphic Computing

Advanced Intelligent Systems
Perovskite‐based memristors with tunable nonvolatile states are developed to mimic the synaptic interconnects of biological nervous systems and map neuromorphic computing networks to integrated circuits.
Yuting Zhang, Zichao Ma, Zhesi Chen, Swapnadeep Poddar, Yudong Zhu, Bing Han, Chak Lam Jonathan Chan, Yucheng Ding, Xiangpeng Kong, Zhiyong Fan   +9 more
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Electrochemical anodic oxidation assisted fabrication of memristors

International Journal of Extreme Manufacturing
Owing to the advantages of simple structure, low power consumption and high-density integration, memristors or memristive devices are attracting increasing attention in the fields such as next generation non-volatile memories, neuromorphic computation ...
Shuai-Bin Hua, Tian Jin, Xin Guo
doaj   +1 more source

Material‐Driven Neuronal Oscillators and Filters via Active Reactance in CC‐NDR and VC‐NDR Electro‐Thermal Memristors

Advanced Physics Research
The continued scaling of artificial intelligence and telecommunications hardware is increasingly constrained by the power, bandwidth, and area limitations of transistor‐based circuits.
Fatme Jardali, Gwyneth Svatek, R. Stanley Williams, Timothy D. Brown, Patrick J. Shamberger   +4 more
doaj   +1 more source