Results 111 to 120 of about 574,339 (264)

Modular Critical Element Recycling Platform Using a Nanoporous Additively Manufactured Gyroid

open access: yesAdvanced Engineering Materials, EarlyView.
A modular recycling platform integrates 3D‐printed nanoporous gyroid structures to enable efficient critical element recovery. This system utilizes a hierarchical architecture, combining macroscopic channels with polymerization‐induced nanoscale porosity. By systematically tuning structural wall thickness and resin formulation, the platform achieves an
Xiangyu Gao   +6 more
wiley   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

open access: yesAdvanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling   +15 more
wiley   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

open access: yesAdvanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner   +14 more
wiley   +1 more source

Silicone Phase Behavior Resolves the Softness–Surface Functionality Trade‐Off in Emerging Stretchable Electronics

open access: yesAdvanced Functional Materials, EarlyView.
Ultrasoft silicone elastomers often sacrifice surface functionality for mechanical compliance. In Mold Star, low‐molecular‐weight species form a dispersed phase that weakens the network and passivates the surface. Solvent extraction removes this phase, unexpectedly improving both extensibility and metallization performance, enabling conductive ...
Gloria M. D'Amaral   +7 more
wiley   +1 more source

n‐Type Semiconductor Hydrogels for Tunable Organic Electrochemical Transistors Operation and Evaporation‐Driven Synergistic Energy Harvesting and Thermal Management

open access: yesAdvanced Functional Materials, EarlyView.
This study develops a tunable n‐OSC hydrogel (PBFDO‐PAAc) platform with a tunable porous network and thermoelectric properties. It demonstrates the first report of n‐OSC hydrogels for evaporation‐driven hydrovoltaic‐thermoelectric electricity generation as well as chemically dedoping‐mediated OECT working mode reconfiguration. This work expands n‐OSCs’
Zhenli Zhou   +9 more
wiley   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

open access: yesAdvanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz   +9 more
wiley   +1 more source

Sodium Alginate‐Based Submucosal Lifting Hydrogel for Endoscopic Mucosal Resection and Endoscopic Submucosal Dissection

open access: yesAdvanced Healthcare Materials, EarlyView.
A biocompatible sodium alginate‐based hydrogel is developed as a next‐generation submucosal lifting agent intended for EMR and ESD. The optimized formulation exhibits a composition devoid of endotoxins, high viscosity, demonstrates reliable injectability, and ensures prolonged mucosal elevation.
Iram Maqsood   +9 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

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