Results 271 to 280 of about 6,742,422 (376)

Enhanced Mechanical and Electrochemical Properties of Carbon Nanotube Fibers via Embedded Sucrose‐Derived Porous Carbon for Mechanoelectrochemical Energy Harvesting

open access: yesAdvanced Functional Materials, EarlyView.
Sucrose‐derived porous carbon network (SPINE‐C) is formed within CNT fibers via FCCVD, bridging inter‐bundles of CNTs and increasing surface area through introduced microporosity. As a result, both mechanical and electrochemical properties are simultaneously enhanced, leading to a 2.8‐fold increase in the power density of a mechano‐electrochemical ...
Hocheol Gwac   +9 more
wiley   +1 more source

Bovine adipose mitochondrial adaptation and a potential lactate-ketone toggle in early lactation. [PDF]

open access: yesFront Vet Sci
O'Boyle NJ   +10 more
europepmc   +1 more source

Highly Selective Toward HER or CO2RR by Regulating Cu Single and Dual Atoms on g‐C3N4

open access: yesAdvanced Functional Materials, EarlyView.
This systematic study provides insights into the design of electrocatalysts for hydrogen evolution reaction (HER) and carbon dioxide reduction (CO2RR). It serves as a useful guide for tuning catalyst architecture toward efficient multifunctional performance by varying synthetic parameters, demonstrating the impact of copper (Cu) species ranging from ...
Wan‐Ting Chen   +9 more
wiley   +1 more source

Quantitative macromolecular proton fraction imaging using pulsed spin-lock. [PDF]

open access: yesMagn Reson Med
Shan Q   +7 more
europepmc   +1 more source

Device Integration Technology for Practical Flexible Electronics Systems

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced 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   +7 more
wiley   +1 more source

LipoGels: Robust Self‐Lubricating Physically Cross‐Linked Alginate Hydrogels Embedded with Liposomes

open access: yesAdvanced Functional Materials, EarlyView.
Physically cross‐linked alginate hydrogels embedded with 1,2‐dipalmitoyl‐sn‐glycero‐3‐phosphocholine liposomes (LipoGels) are prepared under optimized conditions to avoid shrinkage and achieve structural uniformity. LipoGels demonstrate robust mechanical strength (Young's modulus ≈1 MPa), excellent lubrication (friction coefficient ≈0.021), and ...
Tao Ma   +4 more
wiley   +1 more source

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