Results 201 to 210 of about 8,732,832 (344)

Encoding Magnetic Anisotropies in Digital Light Processing 3D Printing

open access: yesAdvanced Functional Materials, EarlyView.
A hybrid magnetic device—combining a coaxial coil within a nested Halbach array—is presented, integrated into a DLP 3D printer to enable spatially resolved magnetic field control. This system enables complex, multimodal responses by programming liquid crystal elastomer resins for magnetic and thermal actuation, and by inducing electrically conductive ...
Eléonore Aïdonidis   +11 more
wiley   +1 more source

Effect of Granular and Molecular Structure of Starch on Physicochemical Properties and Digestibility of Dough- and Mature-Stage Rice

open access: green
Siriluck Wattanavanitchakorn   +5 more
openalex   +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

Engineering a Sonotherapeutic RBC Membrane‐Derived Nanoparticle Platform for the Treatment of Liver Cancer

open access: yesAdvanced Functional Materials, EarlyView.
Herein, an RBC membrane‐derived nanoparticle (CMN‐ICG) is engineered to efficiently deliver a sonosensitizing agent, indocyanine green (ICG), for sonotherapy of hepatocellular carcinoma (HCC). CMN‐ICG exhibits excellent cytocompatibility, significantly enhances hepatocyte uptake, and produces excessive reactive oxygen species (ROS) upon ultrasound ...
Alap Ali Zahid   +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

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