Results 141 to 150 of about 39,936 (332)

A Bespoke Programmable Interpenetrating Elastomer Network Composite Laryngeal Stent for Expedited Paediatric Laryngotracheal Reconstruction

Advanced Functional Materials, EarlyView.
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan, Lei Wu, Dong Zhang, Linxiao Wu, Graca Ferreira Vaz Pinto Mendes, Wanqiao J. Tu, Heping Ma, Toby J. Proctor, Colin R. Butler, Thomas Kjærgaard, Mark W. Lowdell, Martin A. Birchall, Robert E. Hynds, Richard Hewitt, Wenhui Song   +14 more
wiley   +1 more source

Cool Kitchen: Processing Starch and Eggshell Powder into Sustainable Coatings for Passive Daytime Cooling

Advanced Functional Materials, EarlyView.
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song, Evelyn Kubacki, Alexander Berger, Markus Retsch   +3 more
wiley   +1 more source

Supplementary material from "Micro-optics in the cuticle of matt-green Chrysina beetles create spatially-projected images"

Libby, Eduardo, Hernández-Jiménez, Marcela, Vargas, William E, Prado, Mónica, Bermúdez-Ureña, Esteban, Soto-Monge, Esteban Vinicio, Solís, Ángel   +6 more
  +4 more sources

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Characterization of fluorescence collection optics integrated with a micro-fabricated surface electrode ion trap

, 2013
Craig Robert Clark, A. Robert Ellis, Jeffrey D Hunker, Shanalyn A. Kemme, Peter Maunz, C.P. Tigges, Daniel Stick, C. W. Chou, Stick, Daniel L.   +8 more
openalex   +1 more source

Planar Micro‐Optics: Planar Emulation of Natural Compound Eyes (Small 14/2012) [PDF]

, 2012
Dongmin Keum, Hyukjin Jung, Ki‐Hun Jeong   +2 more
openalex   +1 more source

Device Integration Technology for Practical Flexible Electronics Systems

Advanced Functional Materials, EarlyView.
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa, Kento Yamagishi, Sunghoon Lee, Yusaku Tagawa, Takao Someya, Tomoyuki Yokota   +5 more
wiley   +1 more source

Roughness measurements on coupling structures for optical interconnections integrated on a printed circuit board [PDF]

, 2006
Hendrickx, Nina, MCCARTHY, A, SUYAL, H, TAGHIZADEH, M, Thienpont, Hugo, Van Daele, Peter, VAN ERPS, J, Van Steenberge, Geert, WALKER, A   +8 more
core   +2 more sources

IPTV deployment - Trigger for advanced network services! [PDF]

, 2006
C
De Turck, Filip, Demeester, Piet, Dhoedt, Bart, SIX, E, Van Caenegem, Tom, Van de Meerssche, Wim, Van den Berghe, Steven, Vlaeminck, Koert, Wauters, Tim   +8 more
core   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source