Results 181 to 190 of about 1,847,702 (279)

Transition From Lattice Oxygen to Radical‐Mediated Oxidation in Ammonium‐Intercalated Birnessite Catalysts for Selective Valorization of Biomass to Produce Formic Acid

open access: yesAdvanced Functional Materials, EarlyView.
The catalytic valorization of biomass represents an essential approach for achieving sustainable chemical production, with formic acid (FA) being recognized as a valuable platform chemical for hydrogen storage and environmentally friendly synthetic applications.
Yiqi Geng   +6 more
wiley   +1 more source

Upcycling of Disposable Face Masks into Water‐Resistant and Flame Retardant Foams

open access: yesAdvanced Functional Materials, EarlyView.
Disposable mask waste is upcycled into lightweight polypropylene‐based foams with tunable porosity and composite architectures reinforced by ear‐loop fibers. The sustainable solvent‐based process enables upcycling rates of 91% and solvent recovery of >90%.
Jingjing Pan   +3 more
wiley   +1 more source

All‐Aqueous Pullulan Fibers Enabling Visible‐to‐Near‐Infrared Waveguiding with Mechanical and Thermal Resilience

open access: yesAdvanced Functional Materials, EarlyView.
Pullulan, a biomass‐derived polysaccharide, is transformed into transparent optical fibers using a solvent‐free borax hydrogel‐spinning method. The fibers outperform PMMA with ≈200 MPa tensile strength and 200 °C stability, while uniquely guiding visible‐to‐NIR light and enabling additive‐free humidity sensing.
Yuya Fukata   +4 more
wiley   +1 more source

Coherent Control of Nitrogen Nuclear Spins via the VB−${\rm V}_B^-$‐Center in Hexagonal Boron Nitride

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates coherent control of 15N nuclear spins coupled to VB−${\text{V}}_{\text{B}}^{-}$ centers in isotope‐enriched hexagonal boron nitride. Selective addressing via spin‐state mixing enables Rabi driving, quantum gates, and coherence times exceeding 10 μs$\umu{\rm s}$.
Adalbert Tibiássy   +6 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy