Results 101 to 110 of about 385 (164)

Disordered Glass Nanowire Substrates Produce in Vivo‐Like Astrocyte Morphology Revealed by Low‐Coherence Holotomography

open access: yesAdvanced Science, EarlyView.
Low‐coherence holotomography reveals that disordered nanowire substrates guide astrocyte morphology toward branched, in vivo–like star‐shaped morphology, emphasizing the role of biophysical cues in shaping neural cell behavior. The developed nanostructured platform offers a new route to study astrocytes for neurobiology studies. Abstract Astrocytes are
Pooja Anantha   +11 more
wiley   +1 more source

Redox‐Active Halide Catholytes for Solid‐State Lithium Batteries

open access: yesAdvanced Science, EarlyView.
This review highlights emerging redox‐active halide catholytes that merge reversible transition‐metal redox chemistry with mixed ionic–electronic conductivity. Integrating these materials into composite cathodes of all‐solid‐state batteries boosts reversible capacity by 20–50% and reduces electronic transport tortuosity.
Guang Sun   +5 more
wiley   +1 more source

AI‐Directed 3D Printing of Hierarchical Polyurethane Foams

open access: yesAdvanced Science, EarlyView.
Digitally guided direct ink writing, combined with AI‐generated design, enables the fabrication of hierarchical polyurethane foams with tunable multiscale porosity. This approach produces architected foams featuring interconnected open‐cell networks and tailored mechanical properties, advancing the development of adaptive, high‐performance materials ...
Dhanush Patil   +15 more
wiley   +1 more source

Thermal Modulation of Electrodeposition Stability in Sodium Metal Electrodes

open access: yesAdvanced Science, EarlyView.
Unstable electrodeposition in sodium metal electrodes during plating gives rise to dendritic morphologies. A comprehensive analysis of how various thermal profiles, including uniform and non‐uniform temperature distributions and thermodiffusion can affect electrodeposition instability has been performed.
Deep Chatterjee   +4 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

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