Results 151 to 160 of about 36,882 (315)

Nonplanar Atomic Layer Deposition (ALD)‐Niobium Oxide (NbOx) Neurons for Oscillatory Neural Network Applications

Advanced Intelligent Systems, EarlyView.
This article presents a nonplanar niobium oxide (NbOx) neuron device fabricated using an atomic layer deposition (ALD) method for use in oscillatory neural networks (ONNs). Potentially, such nonplanar geometry allows for high‐density arrays. The desired threshold switching (TS) characteristics are achieved through an interfacial method using a thin ...
Jaehyun Moon, Kitae Kim, Jihyun Kim, Soohyung Park, Yeonjin Yi, Jiyong Woo, Seung‐Youl Kang   +6 more
wiley   +1 more source

Multisensory Neuromorphic Devices: From Physics to Integration. [PDF]

Nanomicro Lett
Gui A, Mu H, Yang R, Zhang G, Lin S.
europepmc   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

Advanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad, Solomon Amsalu Chekol, Julius Rasbach, Susanne Hoffmann‐Eifert, Stephan Menzel   +4 more
wiley   +1 more source

Demonstration of CMOS-compatible memristor-based electrochemical biosensor transducer with threshold-sensing functionality. [PDF]

Nat Commun
Kim YJ, Kwon Y, Yoo Y, Theyagarajan K, Saikrithika S, Lee A, Bae NH, Lee WC, Sim G, Lee Y, Park SO, Cho H, Kang MH, Kim Y, Park Y, Lee KG, Kim CY, Ko H, Sul WS, Lee SJ, Ahn JH, Choi S, Kim KM, Lee J.   +23 more
europepmc   +1 more source

Rewiring Droplet Interface Synapses

Advanced Intelligent Systems, EarlyView.
Droplet interface synapses are used to create a neuromorphic network. Voltage pulses draw the droplets into contact and enable rewiring of the network through electrowetting. Results show that the heterogeneous droplet compositions and pore‐forming molecules may be used to tune the neuromorphic properties of the device using trapped charge as a form of
Sarita Shrestha, Eric Freeman
wiley   +1 more source

Error-aware probabilistic training for memristive neural networks. [PDF]

Nat Commun
Liu J, Lu J, Tang S, Zhou R, Ma H, Lyu B, Tian Y, Shi T, Liu Q.   +8 more
europepmc   +1 more source

Physical Reservoir Computing for Smart Manufacturing of PCB Using Crystallinity‐Controlled HfO2 Memristor for Reservoir

Advanced Intelligent Systems, EarlyView.
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee, Wonhee Lee, Junho Shin, Noah Jang, Hyunjun Kim, Kim Da Ye, Jinkyung Kim, June Soo Kim   +7 more
wiley   +1 more source

Editorial: Novel memristor-based devices and circuits for neuromorphic and AI applications, volume II. [PDF]

Front Neurosci
Abunahla H, Al-Sarawi S.
europepmc   +1 more source

Carbon Dots: An Emerging Frontier for Green and Sustainable Civil Engineering Materials

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Traditional civil engineering materials (CE materials) are usually involved with high‐energy consumption during manufacturing, significant maintenance costs, and substantial environmental impacts throughout their life cycles. The progress of nanotechnology is catalyzing a green and sustainable transformation within the field.
Weiwen Hao, Xiaolong Wang, Xiao Chen, Dong Liu, Zhenhui Kang, Cheng Zhu   +5 more
wiley   +1 more source

Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen, Yuetong Han, Xiaodong Wang, Wanli Cheng, Jianjie He, Xing Li, Yoshifumi Oshima, Chongxin Shan, Shaobo Cheng   +8 more
wiley   +1 more source