Results 211 to 220 of about 5,537,193 (382)

Halide Perovskite Radiation Detectors: Conventional Imaging Applications and New Opportunities

open access: yesAdvanced Functional Materials, EarlyView.
Organic–inorganic hybrid halide perovskite (OIHP) semiconductors, owing to their exceptional optoelectronic properties, are emerging as promising next‐generation integrated radiation detectors for applications in medical radiodiagnosis and healthcare monitoring.
Dou Zhao   +4 more
wiley   +1 more source

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

open access: yesAdvanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh   +4 more
wiley   +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

The impact of tropical cyclones Pam, Harold, Winston and Yasa on tree cover loss in Vanuatu and Fiji. [PDF]

open access: yesSci Rep
Metherall N   +5 more
europepmc   +1 more source

Tree girdling increases soil N mineralisation in two spruce stands

open access: bronze, 2008
Bernd Zeller   +3 more
openalex   +2 more sources

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

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