Results 101 to 110 of about 7,658,214 (238)

Effects of Magnetic Fields on Quench Characteristics of Superconducting Tape for Superconducting Fault Current Limiter

open access: yesApplied Sciences, 2019
In DC systems, DC resistive type superconducting fault current limiters (R-SFCLs) can respond within a few hundred milliseconds and limit the fault current to a very low level to protect the power equipment in DC systems.
Bin Xiang   +6 more
doaj   +1 more source

Design guideline of flux-lock type HTS fault current limiter for power system application [PDF]

open access: yes, 2001
We have proposed a “Flux-Lock” type high T, superconducting (HTS) fault current limiter (FCL) composed of the flux-lock reactor with HTS element and the magnetic field coil circuit, In this FCL, the initial limiting current level can be arranged by ...
Shimizu, H., Yokomizu, Y., Matsumura, T.
core   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik   +6 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

An Optimal Design Approach for Resistive and Inductive Superconducting Fault Current Limiters via MCDM Techniques

open access: yesIranian Journal of Electrical and Electronic Engineering, 2011
The design process of a superconducting current limiter (SFCL) requires simulation and definition of its electrical, magnetic and thermal properties in form of equivalent circuits and mathematical models. However, any change in SFCL parameters: dimension,
H. Heydari, R. Sharifi
doaj  

Modeling the limiting performance of resistive superconductor fault current limiters for 2G HTS tape

open access: yesFirat University Journal of Experimental and Computational Engineering, 2022
Fault currents in power systems force valuable power system elements thermally, electro-dynamically and electromagnetically. Due to the increase in fault current levels, the installation of components resistant to fault currents and the damage of these ...
Muhsin Tunay Gençoğlu, Buğra Yılmaz
doaj  

A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung   +10 more
wiley   +1 more source

Superconducting Fault Current Limiter for the Electric Power System [PDF]

open access: yes, 2016
Superconducting fault current limiters are the most attractive devices for the power network, they can be used to limit the short current in electrical network.
Majka, M., Kozak, J.
core   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced 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   +38 more
wiley   +1 more source

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