Results 201 to 210 of about 2,880,868 (278)

Reconfigurable Giant Nonreciprocity at Near‐Normal Incidence via Phase‐Change Magneto‐Optical Metagratings

open access: yesLaser &Photonics Reviews, EarlyView.
A phase‐change magneto‐optical metagrating combines GST switching with InAs guided‐mode resonances to achieve strong nonreciprocal absorption contrast near normal incidence. A static magnetic bias creates direction‐dependent resonant splitting, while GST crystallization quenches and latches the response.
Ye Ming Qing   +5 more
wiley   +1 more source

Mass Spectrometry Insights Into Post‐Translational Modifications in Extracellular Vesicles

open access: yesMass Spectrometry Reviews, EarlyView.
ABSTRACT Extracellular vesicles (EVs) are membrane‐enclosed structures secreted by virtually all living cells, serving as essential mediators of intercellular communication in both physiological and pathological processes. There is growing interest in their potential applications as biomarkers, therapeutic targets, and drug delivery systems, which ...
Dávid Virág   +5 more
wiley   +1 more source

Deep‐DSP2: Cross‐Domain Deep Learning Direct MR Signal Prediction for RF Shielding‐Free MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a deep learning approach to electromagnetic interference (EMI) elimination in the presence of dynamically varying electromagnetic coupling relationships (i.e., spectral domain transfer functions) between MRI receive and EMI sensing coils for RF shielding‐free ultra‐low‐field (ULF) MRI.
Jiahao Hu   +3 more
wiley   +1 more source

Electrospun conducting polymers: recent trends and the transition towards a sustainable future

open access: yesPolymer International, EarlyView.
This review discusses the electrospinning of conducting polymers, detailing procedures, fibrous morphologies, improved properties, applications in electronics, and challenges, while outlining future directions for nanofibre‐based devices in various fields.
Xenofon Karagiorgis   +3 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

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