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Transformers, reactors and other electrical equipment often work under harmonics and DC-bias working conditions. It is necessary to quickly and accurately simulate the hysteresis characteristics of soft magnetic materials under various excitation conditions in order to achieve accurate calculations of core loss and the optimal design of electrical equipment. Based on Preisach hysteresis model, a parameter identification method for asymmetric hysteresis loop simulation is designed and applied to the simulation of hysteresis characteristics under bias conditions of oriented silicon steel sheets. In this paper, the limiting hysteresis loops of oriented silicon steel sheets are obtained through experiments under different working conditions. The first-order reversal curves(FORCs) with asymmetric characteristics is generated numerically, and then the Everett function is established under different DC bias conditions. The hysteresis characteristics of the oriented silicon steel sheets under harmonics and DC bias are simulated by improving FORCs identification method of the Preisach model. By comparing the results of simulation and experiment, the effectiveness of the proposed method is verified, so as to provide an important reference for material production and application.
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http://dx.doi.org/10.3390/ma16124385 | DOI Listing |
Nanomicro Lett
September 2025
Shenzhen Research Institute of Nanjing University, Nanjing University, Shenzhen, 518057, People's Republic of China.
Zn-I batteries have emerged as promising next-generation energy storage systems owing to their inherent safety, environmental compatibility, rapid reaction kinetics, and small voltage hysteresis. Nevertheless, two critical challenges, i.e.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Research Group of Optical Properties of Materials (GPOM), Centro de Investigaciones en Óptica, León, Guanajuato 37150, Mexico.
This study presents a systematic analysis of the impact of polymer hole transport layers (HTLs) in inverted MAPbI perovskite solar cells (PSCs). Devices were fully fabricated under regular atmospheric conditions (≈40% humidity) and low temperature (100 °C) by using Field's Metal (FM) as an alternative top electrode. The widely known π-conjugated polymers P3HT, PTB7-Th, PBDB-T, and MEH-PPV were used as HTLs, and all of them show suitable energy alignment to MAPbI, offering good moisture stability, solution processability, low cost, and attractiveness for large area and flexible PSCs.
View Article and Find Full Text PDFNeural Netw
August 2025
School of Mathematics, China University of Mining and Technology, Xuzhou, 221116, China. Electronic address:
The dynamic characteristics of memristive neural networks (MNNs) can be affected by multiple environmental factors. With that in mind, this paper simultaneously considers the comprehensive effects of stochastic disturbance, external input and actuator hysteresis on the MNNs. Firstly, the driving-response stochastic MNNs (SMNNs) subjected to external inputs and hysteresis are introduced, along with a class of secure communication schemes constructed based on this system.
View Article and Find Full Text PDFChem Rev
September 2025
Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Ionic circuits have emerged as a promising candidate to bridge the gap between biological and artificial systems by applying the mechanically compliant and adaptive nature of gels as ionic conductors. Gel-based ionic circuits exploit the intrinsic characteristics of ions, such as their mass, diversity, and local accumulation, to achieve selectivity, hysteresis, and chemical-electric signal transduction. Their dynamic and nonlinear behaviors not only emulate traditional solid-state electronic systems but also exhibit unique functionalities and operating mechanisms extending beyond established electronic paradigms.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
State Key Laboratory of High-Efficiency and High-Quality Conversion for Electric Power, Hunan University, Changsha 410082, China.
High-power giant magnetostrictive underwater transducers are integral to underwater active sonar detection systems due to their high energy density, rapid dynamic response, and significant output force. However, these transducers exhibit complex nonlinear dynamic hysteresis behavior, which is influenced by the coupling of electric, magnetic, mechanical, and acoustic fields. This complexity presents considerable challenges in accurately characterizing their output properties.
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