Results 181 to 190 of about 25,251 (300)

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

Intrinsic nanofilament pathways in molecular crystals enable energy-efficient and reliable memristors. [PDF]

Natl Sci Rev
Liu Y.
europepmc   +1 more source

Effects of Oxygen Gradient Engineering on Resistive Switching Uniformity in A-Igzo Memristors for Synaptic Plasticity Emulation

Xin Fang, Xiaofeng Zhao, Chunpeng Ai, Zhipeng Yu, H. Che, Dianzhong Wen   +5 more
openalex   +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

High-Endurance STO:YSZ Optoelectronic Memristors with Vertically Aligned Nanocomposite Structure for Edge Detection. [PDF]

Adv Sci (Weinh)
Wang J, Xu J, Han X, Sun W, Wang F, Zhao Z, Zhao K, Shang Y, Yang B, Wang H, Liu H, Yan X.   +11 more
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

Advances of Emerging Memristors for In-Memory Computing Applications. [PDF]

Research (Wash D C)
Chen Q, Lu L, Meng J, Xu M, Wang T.
europepmc   +1 more source

Explainable Model Prediction of Memristor

Sruthi Pallathuvalappil, Rahul Kottappuzhackal, Alex Pappachen James   +2 more
openalex   +1 more source

Pulse Shape and Timing Dependence on the Spike-Timing Dependent Plasticity Response of Ion-Conducting Memristors as Synapses [PDF]

, 2016
Kristy A. Campbell, Kolton Drake, Elisa H. Barney Smith   +2 more
openalex   +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