Results 221 to 230 of about 5,421,660 (323)
Advanced Functional Materials, EarlyView.This review describes the different surface engineering strategies for quantum dots that addresses the challenges associated with surface defects, highlighting their role in enhancing the performance of solar energy conversion technologies. Abstract Colloidal quantum dots (QDs) have garnered significant attention for their unique potential in clean ...
Kokilavani S., Gurpreet Singh Selopal
wiley +1 more source
Visualization and bibliometric analysis of global research trends on oral cancer screening and early diagnosis. [PDF]
Discov OncolHuang G, Deng H, Sun S, Fang S, Ma J.
europepmc +1 more source
Dual Optical Hyperbolicity of PdCoO2 and PdCrO2 Delafossite Single Crystals
Advanced Functional Materials, EarlyView.In this work, the hyperbolic response of PdCoO₂ and PdCrO₂ delafossites is investigated for the first time. They exhibit dual hyperbolic regimes, one localized around a phonon absorption in the mid‐infrared spectral region, and the other extending into the visible range.
Salvatore Macis +14 more
wiley +1 more source
Global trends in tick research: a comprehensive visualization and bibliometric study (2015-2024). [PDF]
Front Cell Infect MicrobiolSu H, Gong M, Liu L, Sheng Z, Zhang B.
europepmc +1 more source
Advanced Functional Materials, EarlyView.Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel +5 more
wiley +1 more source
The intellectual base and research fronts of LGR5: a bibliometric analysis. [PDF]
Front Res Metr AnalDing R, Tang Z, Xu R, Deng Z.
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Evolution of Research Published in Sports and Exercise Medicine Journals: A Quantitative Analysis of Global Trends. [PDF]
Sports Med OpenZwack CC, Haghani M, Benson AC.
europepmc +1 more source
GeAl2‐2xFe2xO3(OH)4 Nanotubes: New Electrocatalyst for Oxygen Evolution Reaction
Advanced Functional Materials, EarlyView.Fe‐doped imogolite nanotubes are synthesized via a one‐step hydrothermal method with varying Fe substitution ratios x. Structural and spectroscopic analyses confirm homogeneous Fe incorporation while preserving tubular shape. Optimal doping at x = 0.05 enhances optical absorption, narrows band gap, reduces charge transfer resistance, and significantly ...
Yassine Naciri +12 more
wiley +1 more source