Results 101 to 110 of about 9,926 (193)

From Planar to 3D Nanophotonic Lenses: Advancing Design, Fabrication, and Applications

open access: yesLaser &Photonics Reviews, EarlyView.
Three‐dimensional nanophotonic lenses are enabled by an integrated workflow that links design parameterization, full‐wave electromagnetic simulation, computational optimization, and freeform fabrication. This Review summarizes how these tools expand optical design freedom beyond a single patterned plane by enriching the local meta‐atom response and ...
Wei Zhu   +2 more
wiley   +1 more source

Polycarbonate Vitrimers and Dynamic Co‐Networks From Epoxide/Carbon Dioxide Copolymerization

open access: yesMacromolecular Rapid Communications, EarlyView.
This work demonstrates how CO2‐derived poly(propylene carbonate) and poly(cyclohexene carbonate) backbones influence vitrimer thermo‐mechanical behavior. By tuning backbone composition, epoxide crosslinker chemistry and blend ratios, the crosslinked materials span a wide property window, from highly extensible to stiff, glassy networks, establishing an
Satej S. Joshi   +3 more
wiley   +1 more source

A Chemically Recyclable 1,3,5‐Triazine‐Based Epoxy Thermoset Enabled by Nucleophilic Aromatic Substitution Reaction

open access: yesMacromolecular Rapid Communications, EarlyView.
High‐performance 1,3,5‐triazine epoxy networks are prepared via solvent‐free curing and recycled using nucleophilic aromatic substitution (SNAr) chemistry. This robust thermoset undergoes clean depolymerization into well‐defined building blocks for seamless repolymerization, achieving chemical recycling while preserving thermomechanical performance ...
Yi‐Ru Chen   +3 more
wiley   +1 more source

Analysis of Carbohydrates and Glycoconjugates by Matrix‐Assisted Laser Desorption/Ionization Mass Spectrometry: An Update for 2023–2024

open access: yesMass Spectrometry Reviews, EarlyView.
ABSTRACT The use of MALDI mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well‐established technique and this comprehensive review is the twelfth update of the original article published in 1999 and brings coverage of the literature to the end of 2024.
David J. Harvey
wiley   +1 more source

Machine Learning‐Guided Design of Cu–Ni–Sn Alloys With Tailored Ni3Sn/Ni3Sn2 Precipitates

open access: yesMaterials Genome Engineering Advances, EarlyView.
To address the trade‐off between strength and conductivity in Cu–Ni–Sn alloys, this study proposes a new closed‐loop design strategy that integrates machine learning, thermodynamic calculations, and experimental verification from the perspective of “phase selectivity”, providing a new approach for multiphase control and synergistic improvement of multi‐
Fei Tan   +10 more
wiley   +1 more source

Home - About - Disclaimer - Privacy