Results 141 to 150 of about 982,997 (338)

Bis[4-(2-benzylidenepropylideneamino)phenyl] ether

open access: yesActa Crystallographica Section E, 2009
The title compound, C32H28N2O, is a flexible Schiff base displaying a trans configuration across the C=N double bond. It was prepared in high yield by condensation of α-methylcinnamaldehyde and bis(4-aminophenyl) ether in methanol at room ...
doaj   +1 more source

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou   +7 more
wiley   +1 more source

Photothermal Macroporous Lignin Cryogels for Off‐Grid, Continuous Atmospheric Water Collection via Interlayer Heat Recovery

open access: yesAdvanced Functional Materials, EarlyView.
Photothermal, macroporous lignin‐based cryogels are engineered to convert sunlight into low‐grade heat. Integrated as stacked beds in a drum‐type device, a thin copper interlayer transfers waste heat between beds, enabling interlayer heat recovery and continuous solar cycling.
Jie Yan   +8 more
wiley   +1 more source

Improved boundary lubrication with formulated C-ethers [PDF]

open access: yes
A comparison of five recently developed C-ether-formulated fluids with an advanced formulated MIL-L-27502 candidate ester is described. Steady state wear and friction measurements were made with a sliding pin on disk friction apparatus.
Loomis, W. R.
core   +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

The crystallization of tough thermoplastic resins in the presence of carbon fibers [PDF]

open access: yes
The crystallization kinetics of the thermoplastic resins poly(phenylene sulfide) (PPS) and poly(aryl-ether-ether-ketone) (PEEK) in the presence and in the abscence of carbon fibers was studied.
Theil, M. H.
core   +1 more source

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