Results 81 to 90 of about 590,416 (235)

Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization

Advanced Intelligent Systems, EarlyView.
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee, Jun‐Young Park, Joon‐Kyu Han, Sungho Kim   +3 more
wiley   +1 more source

Characterization and Selection of Contractile Actuators for Soft Robotics Operating in the Quasistatic Regime

Advanced Intelligent Systems, EarlyView.
We developed methods to characterize soft contractile actuators using force–displacement measurements in the passive state and the total force in the active state and define the operational range of thermal, electrothermal, and pneumatic muscles. A graphical method enables the selection of an actuator based on the required mechanical force–displacement
Qiong Wang, Liuyang Cheng, Jeongmin Kim, Samuel Tsai, Devin Roach, Sameh Tawfick   +5 more
wiley   +1 more source

Electromagnetic field coupled circuits and open‐loop control of fast starting processes in induction motors

IET Power Electronics
To solve the problems of difficulty in speed measurement and low accuracy of speed measurement of induction motor (IM) during fast starting, the electromagnetic field coupling circuit (EFCC) and open‐loop control of IM considering rapid speed change are ...
Huixian Zhang, Kunlun Zhang, Nan Xu, Cheng Luo   +3 more
doaj   +1 more source

Multi-criteria based design approach of multiphase permanent magnet low speed synchronous machines [PDF]

, 2009
Version éditeur disponible à cette adresse : http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4797497&isnumber=4797494A design methodology dedicated to multi-phase permanent magnet synchronous machines (PMSMs) supplied by pulse width modulation ...
CHARPENTIER, Jean-Frederic, SCUILLER, Franck, LETELLIER, Paul, SEMAIL, Eric   +3 more
core   +1 more source

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

Additional Losses of Inverter Fed Asynchronous Induction Machines of Traction Drives - Comparison of Modelling and Measurements

, 2011
Additional losses of asynchronous induction machines utilized in traction drives caused by the inverter have a great impact of the thermal behaviour of such machines.
Neudorfer, Harald, Schmidt, Erich, Müllner, Florian   +2 more
core   +4 more sources

Model predictive control with adjustable switching frequency for induction motor drives based on three‐dimensional satisfaction space optimisation

IET Electric Power Applications
This paper proposes a model predictive control strategy for induction motors driven by three‐level inverters, enabling effective switching frequency adjustment.
Bo Yang, Xiang Wu, Yu Tian, Zhikang Guo, Xu Zhang, Guojun Tan   +5 more
doaj   +1 more source

A Multipole Asynchronous Machines with Mutually Immovable Windings

A multipole asynchronous machines is considered in which the primary and secondary windings are arranged on the stator, while the rotor is made tooth-like and without windings.
Pugačevs, Vladislavs, Manonovs, Muhabats, Ribickis, Leonīds, Levins, Nikolajs   +3 more
core  

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Asynchronous generator control system for renewable energy sources

Известия Томского политехнического университета: Инжиниринг георесурсов, 2019
The paper demonstrates the possibility of using the asynchronous machine as a generator to supply power to battery power plant for the northern regions of Russia.
Alexei Vstovskiy, Konstantin Fediy, Maxim Arkhiptsev, Evgeny Spirin   +3 more
doaj   +2 more sources