Results 91 to 100 of about 29,422 (236)

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

open access: yesAdvanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal   +3 more
wiley   +1 more source

IN4MER Biomaterial Ink: A Phosphorescent Biosensing Biomaterial Ink for Multiple Analytes (Glucose, Lactate, Oxygen) Measurements and Temperature Sensing Applications

open access: yesAdvanced Functional Materials, EarlyView.
Multianalyte, real‐time monitoring of bioprinted scaffolds remains challenging. Phosphorescence‐lifetime–based, optically responsive microparticles are embedded in diverse printable hydrogels (κ‐carrageenan, GelMA, PEGDA) to form biomaterial inks that report oxygen, glucose, lactate, and temperature.
Waqas Saleem   +11 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

Regulated Ion‐Diffusion Hydrogels for Subtle and Multimodal Temperature‐Strain Sensing in Wound Monitoring

open access: yesAdvanced Functional Materials, EarlyView.
A soft, dual‐channel hydrogel patch enables simultaneous detection of wound temperature and strain by integrating ion‐diffusion‐mediated thermoelectric and resistive sensing. The conformal design maintains stable performance during motion, capturing subtle inflammatory and mechanical changes for continuous wound monitoring.
Yu Fang   +7 more
wiley   +1 more source

Tissue‐Stimulator Platform for Electrically Stimulating Pancreatic β‐Cells for Long‐Term Functional Regulation

open access: yesAdvanced Functional Materials, EarlyView.
We present a tissue‐stimulator platform for seamless electrode integration with pancreatic tissue, applying uniform electrical stimulation through optimized design with biohybrid 3D printing. Advantageous effects of electrical stimulation on β‐cell function were observed, including enhanced calcium signaling, islet morphology, and maturation.
Jihwan Kim   +7 more
wiley   +1 more source

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

open access: yesAdvanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo   +2 more
wiley   +1 more source

Self‐Healing and Stretchable Synaptic Transistor

open access: yesAdvanced Functional Materials, EarlyView.
A self‐healing stretchable synaptic transistor (3S‐T) is realized using a p‐PVDF‐HFP‐DBP/PDMS‐MPU‐IU bilayer as gate insulator, where dipole‐dipole interaction enhances polarization to achieve a large memory window. Leveraging its neuronal biomimicry, the synaptic transistor demonstrates electrically compatibility with the biological brain. Furthermore,
Hyongsuk Choo   +10 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

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