Results 121 to 130 of about 19,186 (290)

Emerging of Anomalous Higher‐Order Topological Phases in Altermagnet/Topological Insulator Heterostructure by Floquet Engineering

open access: yesAdvanced Science, EarlyView.
We combine altermagnet with topological insulators and subject the structure to Floquet driving. This breaks time‐reversal symmetry and creates a new type of higher‐order topological insulator. Its key feature is the emergence of programmable “0/π‐corner modes” that can be controlled by magnetic field direction, offering a novel dynamic platform for ...
Donghao Wang   +4 more
wiley   +1 more source

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  

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
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  

How Particle Size Affects Consolidation Behavior, Strain and Properties of Li6PS5Cl Fast Ionic Conductors

open access: yesAdvanced Energy Materials, EarlyView.
The densification process of Li6PS5Cl powders with varying particles size distributions reveals differences in smaller and larger distributions. Higher strain is revealed for the smaller particle size distribution from X‐ray diffraction. Discrete element method simulations uncover that the reason for the higher strain is not the particle size itself ...
Vasiliki Faka   +14 more
wiley   +1 more source

The Future of Hydrogen‐Powered Aviation: Technologies, Challenges, and a Strategic Roadmap for Sustainable Decarbonization

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira   +4 more
wiley   +1 more source

Integral Equations for Computing AC Losses of Radially and Polygonally Arranged HTS Thin Tapes

open access: yes, 2012
In this paper we derive the integral equations for radially and polygonally arranged high-temperature superconductor thin tapes and we solve them by finite-element method.
Brambilla, Roberto   +2 more
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

Design,Development and Testing of Nb-Ti Superconducting Magnet & Creation of Liquid Helium Test Facility [PDF]

open access: yes, 2014
Research in the area of advanced materials for various applications is the demand of time. Discovery of nano technology, high Tc superconductivity and multi functional materials are just few of them.
Ravindra, Vutukuru
core   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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