Results 151 to 160 of about 4,028,267 (344)

CaFeFeNbO6 – an iron-based double double perovskite

open access: yes
Ordering of cations is important for controlling properties of ABO3 perovskites, and CaFeFeNbO6 is the first example of an Fe-based AA’BB’O6 double double perovskite, with Ca2+/Fe2+ ordered on A-site columns, and Fe3+/Nb5+ at the octahedral B-sites ...
Ji, Kunlang   +3 more
core   +2 more sources

Double perovskite oxides for electrochemical water splitting: Structure, defect engineering and catalytic mechanism

open access: yesResults in Engineering
Electrochemical water splitting has emerged as a promising strategy for sustainable hydrogen production; however, its widespread application is hindered by the sluggish kinetics of the hydrogen evolution reaction and oxygen evolution reaction, which ...
K. Padmapriya, S.P. Vijayachamundeeswari
doaj   +1 more source

An Examination of the Cs2NaInCl6 Luminescence: Interplay of Self‐Generated In+ and Doped Sb3+, Er3+/Yb3+ Ions

open access: yesAdvanced Optical Materials, EarlyView.
A new luminescence mechanism in Cs2NaInCl₆ is revealed through spontaneously formed In3+→In+ centers and Er3+/Yb3+/Sb3+ doping. Tunable visible, near‐infrared, downconversion, and upconversion emissions are demonstrated, while DFT calculations explain the electronic structure.
Inna A. Ivashchenko   +10 more
wiley   +1 more source

Enhanced exchange bias in all-oxide heterostructures with cation-ordered ferrimagnetic double-perovskite

open access: yesnpj Spintronics
The realization and control of exchange bias (EB) are highly desirable for spintronic applications. All-oxide heterostructures comprised of ferromagnetic and antiferromagnetic/multiferroic oxides provide an ideal platform to enable the electric-field ...
Xiaofu Qiu   +10 more
doaj   +1 more source

Visible‐Blind Near‐Infrared Organic Vision Sensors for Imaging in Adverse Environmental Conditions

open access: yesAdvanced Optical Materials, EarlyView.
This work presents high‐performance visible‐blind NIR OPDs enabled by a multilayer optical modulation layer. The devices achieve strong visible‐light suppression and enhanced NIR sensitivity, enabling robust imaging in foggy or low‐light environments.
Baozhong Deng   +9 more
wiley   +1 more source

Crossover From Excitonic to Bulk Emission in Metal Halide Perovskite Nanocomposites

open access: yesAdvanced Optical Materials, EarlyView.
A transition from excitonic to free‐charge recombination is uncovered in perovskite nanocomposites as a function of nanostructure size using PLQY(R, F) mapping as a function of excitation fluence (F) and repetition rate (R). These findings demonstrate that PLQY(R, F) mapping serves as a powerful and non‐invasive tool to extract quantitative information
Miriam Minguez‐Avellan   +5 more
wiley   +1 more source

Phase Diagrams and Piezoelectric Properties of Wurtzite Al1−x−yScxGdyN Heterostructural Alloys

open access: yesAdvanced Science, EarlyView.
This study demonstrates ferroelectricity and piezoelectric properties improvement of quaternary wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films, guided by density functional theory calculations. Wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films have a high optical bandgap, enhanced piezoelectric ...
Julia L. Martin   +11 more
wiley   +1 more source

Wavy‐Interlocked Stretchable Triboelectric Nanogenerators Enhanced by Liquid Metal Microflowers for Self‐Powered Wearable Motion Monitoring

open access: yesAdvanced Science, EarlyView.
Schematic showing a stretchable triboelectric nanogenerator based on interlocked wavy architectures that uses EGaIn microflower‐embedded PVDF‐TrFE and Nylon‐6 nanofiber membranes. The multi‐petaled, electron‐rich EGaIn microflowers enhance interfacial polarization and capacitance, while the interlocked wavy architecture enlarges the effective contact ...
Qianqian Xu   +12 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy