Results 271 to 280 of about 693,875 (342)

Advanced Techniques for Scalable Woven E‐Textiles Manufacturing

open access: yesAdvanced Materials Technologies, EarlyView.
This review highlights recent advances in scalable weaving techniques for e‐textiles, emphasizing innovations in multilayer structures, conductive yarn integration, and loom modifications. It summarizes emerging materials, fabrication strategies, and performance considerations that enable reliable, durable, and industrially scalable woven electronic ...
Faisal Abedin   +2 more
wiley   +1 more source

Strategies for Enhancing Thermal Conductivity of PDMS in Electronic Applications

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores effective strategies for enhancing heat dissipation in Polydimethylsiloxane (PDMS)‐based composites, focusing on particle optimization, 3D network design, and multifunctional integration. It offers key insights into cutting‐edge methods and simulations that are advancing thermal management in modern electronic devices.
Xiang Yan, Marisol Martin‐Gonzalez
wiley   +1 more source

Childhood fluoride exposure and cognition across the life course. [PDF]

open access: yesSci Adv
Warren JR   +6 more
europepmc   +1 more source

Wireless Power Transfer Modalities for Implantable Bioelectronics: Electromagnetic, Acoustic, and Magneto‐Dynamic Perspectives

open access: yesAdvanced Materials Technologies, EarlyView.
This review traces the evolution of wireless power transfer (WPT) for implantable medical devices, spanning electromagnetic, magnetoelectric, acoustic, and magneto‐dynamic systems. Quantitative comparisons of power, distance, and device scale highlight trade‐offs across modalities, while emerging hybrid mechanisms reveal strategies to overcome ...
Junyeop Kim, Yoonseok Park
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

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