Results 191 to 200 of about 2,982,254 (283)

Hydrogel‐Based 3D‐Printed Anthropomorphic Breast Phantom for Emulating Mechanical and Dielectric Properties of Mammary Tissue. Applications in Microwave Imaging

Advanced Functional Materials, EarlyView.
A 3D‐printable breast phantom is developed using patient‐derived MRI data and hydrogels that replicate the dielectric properties of healthy and cancerous tissues. Mechanical and dielectric characterization confirm its suitability for microwave imaging.
Carlos M. Andreu, Daniel Álvarez Sánchez‐Bayuela, Gianluigi Tiberi, Eliana Canicattì, Agostino Monorchio, Ester Vázquez   +5 more
wiley   +1 more source

Toward sustainable energy production: a comparative machine learning framework for predicting green hydrogen cost across the african continent. [PDF]

Sci Rep
Elewa AMT, Snousy MG, Saqr AM, Elshafie HM, Abouelmagd AR, Hussain AM, El-Hafeez TA.   +6 more
europepmc   +1 more source

Confinement in Metal‐Organic Frameworks as a Route to Harnessing Liquid Barocalorics in the Solid‐State

Advanced Functional Materials, EarlyView.
Encapsulation of solid–liquid barocalorics (BC) within MOFs harnesses their colossal BC performance whilst allowing active control of BC properties through BC‐MOF interactions. ABSTRACT Barocaloric (BC) effects at liquid–vapor transitions in hydrofluorocarbons drive most commercial technologies used for heating and cooling in the heating, ventilation ...
Ming Zeng, Frederic Rendell‐Bhatti, Eamonn T. Connolly, Yang Wang, Clàudia Pérez‐Junyent, Josep‐Lluís Tamarit, Ross S. Forgan, Pol Lloveras, David Boldrin   +8 more
wiley   +1 more source

Potential vulnerability of US green hydrogen in a world of interdependent networks. [PDF]

iScience
Pourshahabi S, Shutters ST, Muneepeerakul R, Altiparmak SO.   +3 more
europepmc   +1 more source

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

Green-Hydrogen Energy Share: An Intuitive Metric to Compare Energy Density and H₂ Efficiency in Biofuels and E‑Fuels. [PDF]

ACS Omega
Robinson Medici A, Giuliano A, Pierro N, de Bari I, Papadokonstantakis S.   +4 more
europepmc   +1 more source

Upcycling Keratin‐Based Textile Waste Into High‐Performance Hybrid Fibers Via Tuning the Interfacial Interactions

Advanced Functional Materials, EarlyView.
Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai, Daniel Van Opdenbosch, Inge Schlapp‐Hackl, Teemu Välisalmi, Markus Linder, Michael Hummel, Wenwen Fang   +6 more
wiley   +1 more source

Porous Carbon Nanoflakes Doped with Boron Derived from Carbon Fabric Containing Polyester as Efficient Electrocatalysts for Green Hydrogen Production. [PDF]

Polymers (Basel)
Hubaish SM, Saad M, Eljack F, Chitt M, Mahkamova L, Eid K.   +5 more
europepmc   +1 more source

Ultrathin Amphipathic Dual‐Polymer Networks: Unlocking Hyper‐Permeable CO2 Capture via Solvent‐Mediated Poly(Ethylene Oxide) Amorphization

Advanced Functional Materials, EarlyView.
Hydrophilic PEO‐copolymers and hydrophobic PDMS are physically integrated via a compatibilizing solvent into an amphipathic dual‐polymer network with versatile interfacial affinity and completely amorphized PEO segments for hyper‐permeable CO2 transport.
Ji Wu, Fan Feng, Baiwang Zhao, Jordan Yuan Zhe Ng, Kaiyu Wang, Can Zeng Liang, Guangtai Zheng, Boxuan Zhao, Tai‐Shung Chung, Sui Zhang   +9 more
wiley   +1 more source

Deep Learning Kinetic Modeling of the Catalytic Decomposition of Ammonia in Green Hydrogen Production: Effects of Catalyst Composition and Operating Variables. [PDF]

ACS Omega
Dalcamim FV, Belapetravicius I, Cavalcanti FM, Giudici R.   +3 more
europepmc   +1 more source