Results 141 to 150 of about 209,790 (294)

NanoMOF‐Based Multilevel Anti‐Counterfeiting by a Combination of Visible and Invisible Photoluminescence and Conductivity

open access: yesAdvanced Functional Materials, EarlyView.
This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner   +9 more
wiley   +1 more source

Ionic Metal Poly(heptazine Imides) and Single‐Atoms Interplay: Engineered Stability and Performance for Photocatalysis, Photoelectrocatalysis and Organic Synthesis

open access: yesAdvanced Functional Materials, EarlyView.
Poly(heptazine) imides (PHIs), a crystalline carbon nitride subclass, intercalate metals to deliver high stability, tunable electronics, and efficient charge separation. These features enable solar‐driven applications such as hydrogen evolution, CO₂ reduction, and organic synthesis.
Gabriel A. A. Diab   +6 more
wiley   +1 more source

Managing demand: transfer of management of self limiting conditions from general practice to community pharmacies [PDF]

open access: bronze, 2001
Karen Hassell   +5 more
openalex   +1 more source

Tunable Thermoshrinkable Hydrogels for 4D Fabrication of Cell‐Seeded Channels

open access: yesAdvanced Functional Materials, EarlyView.
A thermoresponsive polymer with methacrylate groups for photo‐cross‐linking, based on polyethylene glycol, N‐isopropylacrylamide, and 2‐hydroxyethyl acrylate is synthetized to yield hydrogels that shrink upon temperature increase. The new polymer enables the fabrication of cell‐laden perfusable channels with diameters below 200 µm by combining ...
Greta Di Marco   +12 more
wiley   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

open access: yesAdvanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer   +10 more
wiley   +1 more source

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