Results 121 to 130 of about 325,333 (335)

Advanced Flame Retardant Strategies and Fire Performance Assessment for Safer Photovoltaics in Buildings: A Two‐Part Review

open access: yesAdvanced Functional Materials, EarlyView.
The integration of photovoltaic (PV) systems into building structures introduces distinct fire risks with critical implications for occupant safety. This review examines the key fire hazards associated with PV implementation and explores mitigation strategies, including flame‐retardant additives.
Florian Ollagnon   +7 more
wiley   +1 more source

Understanding Decoherence of the Boron Vacancy Center in Hexagonal Boron Nitride

open access: yesAdvanced Functional Materials, EarlyView.
State‐of‐the‐art computations unravel the intricate decoherence dynamics of the boron vacancy center in hexagonal boron nitride across magnetic fields from 0 to 3 T. Five distinct regimes emerge, dominated by nuclear spin interactions, revealing optimal coherence times of 1–20 µs in the 180–350 mT range for isotopically pure samples.
András Tárkányi, Viktor Ivády
wiley   +1 more source

A randomized control trial to evaluate the effectiveness of intravenous, intra-articular and topical wash regimes of tranexamic acid in primary total knee arthroplasty

open access: yesJournal of Orthopaedic Surgery, 2017
Background: The efficacy of tranexamic acid to decrease post-operative blood loss and blood transfusion is well established in literature. However, the ideal mode of administration is debatable.
Jatin Prakash   +4 more
doaj   +1 more source

Advanced Surface Engineering and Passivation Strategies of Quantum Dots for Breaking Efficiency Barrier of Clean Energy Technologies: A Comprehensive Review

open access: yesAdvanced Functional Materials, EarlyView.
This review describes the different surface engineering strategies for quantum dots that addresses the challenges associated with surface defects, highlighting their role in enhancing the performance of solar energy conversion technologies. Abstract Colloidal quantum dots (QDs) have garnered significant attention for their unique potential in clean ...
Kokilavani S., Gurpreet Singh Selopal
wiley   +1 more source

Liquid Metals as Initiators of Free‐Radical Polymerization of Hydrogels: A Perspective

open access: yesAdvanced Functional Materials, EarlyView.
Gallium‐based liquid metals initiate free radical polymerization to form hydrogels without the use of toxic molecular initiators. In addition to initiating polymerization, they can act as crosslinkers, yielding softer, more extensible, and tougher hydrogels than those formed with conventional initiators.
Syed Ahmed Jaseem   +8 more
wiley   +1 more source

Investigating Experimental Short Term Imprint Dynamics in Ferroelectric Hafnium Oxide Through Phase‐Field Modeling

open access: yesAdvanced Functional Materials, EarlyView.
Phase‐field modeling reveals the mechanisms behind short‐term ferroelectric imprint in Hf0.5Zr0.5O2 polycrystalline thin films. Combined with a charge trapping model, the proposed framework accurately reproduces coercive field shifts with pause time and their recovery through field cycling in polarization‐voltage measurements, offering valuable ...
Kévin Alhada‐Lahbabi   +10 more
wiley   +1 more source

Potassium channel activators protect the N-methyl-D-aspartate-induced cerebral vascular dilation after combined hypoxia and ischemia in piglets [PDF]

open access: yes, 1998
Background and Purpose-Cerebral arteriolar dilation to N-methyl-D-aspartate (NMDA) is a neuronally mediated multistep process that is sensitive to cerebral hypoxia and ischemia (H/I).
Bari, Ferenc   +2 more
core  

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

Home - About - Disclaimer - Privacy