Results 31 to 40 of about 2,881 (261)
Neuromorphic Devices and Computing for Sensing, Memory, and Control. [PDF]
Adv Sci (Weinh)This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhu Z, Schaffer N, Yang X.
europepmc +2 more sources
Communications, 2019 This article is devoted to development of a method for calculating the parameters of an asynchronous motor of an electric locomotive with asymmetrical windings of stator and rotor.
Sergey Goolak +5 more
doaj +1 more source
Advanced Functional Materials, EarlyView.The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Известия высших учебных заведений: Проблемы энергетики, 2022 THE PURPOSE. The relevance of research is that the comprehensive substantiation of issues aimed at ensuring the effective functioning of the electrical complex with the presence of an electric motor load in conditions of low-quality supply voltage.
V. V. Romanova +3 more
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Frequency control of asynchronous motors of looms of textile enterprises [PDF]
E3S Web of Conferences, 2020 In article are brought frequency regulation of the asynchronous electric motor and that reach to energy saving itself. Frequency management is energy saving so regulation of the frequency of the rotation of the asynchronous engine are provided increasing
Pirmatov Nurali, Panoev Abdullo
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Технічна електродинаміка, 2020 In the paper impact of low-frequency interharmonics on AC devices, in particular asynchronous motors is described. It is shown that because of the indefinite time interval of measurement, interharmonics detection and calculation is complicated.
Є.В. Вербицький +1 more
doaj +1 more source
Voltage regulation and power-saving method of asynchronous motor based on fuzzy control theory
Open Physics, 2022 The load rate of asynchronous motors is low, the operation efficiency is low, and the waste of electric energy is very serious. Therefore, a voltage regulation and electricity saving method for asynchronous motors based on fuzzy control theory is ...
Guo Chunjing
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Advanced Materials, EarlyView.A circular upcycling strategy transforms waste poly(ethylene terephthalate) bottles into microwave‐responsive Ni@C catalyst featuring lattice‐distorted nickel cores and defective carbon shells. These strain‐rich heterointerfaces enhance dielectric loss and promote localized microwave hotspots, accelerating peroxymonosulfate activation and polymer‐chain
Xiao Lu +7 more
wiley +1 more source
Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing
Advanced Materials, EarlyView.Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris +7 more
wiley +1 more source