Results 131 to 140 of about 9,317 (278)
Advancing Energy Materials by In Situ Atomic Scale Methods
Advanced 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
X‐ray magnetic circular dichroism
Major Reference Works, Page 508-515., 2022 International Tables for Crystallography is the definitive resource and reference work for crystallography and structural science.
Each of the eight volumes in the series contains articles and tables of data relevant to crystallographic research and to applications of crystallographic methods in all sciences concerned with the ...
Gerrit van der Laan C. Chantler +2 more
wiley +1 more source
Journal of Aceh Physics Society, 2018 Telah dilakukan penelitian mengenai variasi waktu proses sintering pada kawat superkonduktor Bi-Pb-Sr-Ca-Cu-O dopan MgO dengan selubung Ag. Bahan-bahan yang digunakan ialah Bismuth (III) Oksida, Timbal (IV) Oksida, Strontium Carbonate, Calcium Carbonate,
Hariyati Lubis +4 more
doaj
Novel microstrip transformer for superconducting microelectronics
Electronics Letters, 1987 A novel monolithic impedance transformer based on super-conducting microstrip has been constructed and tested. The transformer contacts devices on the substrate surface via an evaporated ground plane. Bandwidths of 25% at an impedance transformation of 50 : 0.5Ω was achieved at 9 GHz.
openaire +1 more source
Advanced 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
Advanced 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
Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
IET Generation, Transmission & DistributionTraditionally, phase shifters powered by power electronics are used in conjunction with energy storage devices to improve the load frequency control. Conventional phase shifters provide minimal inertia and offer a significant threat to power quality due ...
Saira Manzoor +3 more
doaj +1 more source
A deep learning approach to search for superconductors from electronic bands
AI for ScienceThe prediction of superconducting transition temperatures ( $T_\mathrm{c}$ ) from electronic band structures remains challenging due to the complex interplay of electronic correlations, lattice dynamics, and symmetry.
Jun Li +8 more
doaj +1 more source
Advanced Physics Research, EarlyView.This study explores the epitaxial growth of high‐quality La‐doped BiFeO3 (BLFO) thin films at 550 °C using magnetron sputtering. The films exhibit good ferroelectric properties and low leakage current. A BLFO/CoFeB heterostructure is constructed, achieving an exchange bias field exceeding the coercive field at room temperature.
Zhiqin Zhou +10 more
wiley +1 more source