Results 81 to 90 of about 83,709 (298)

Bioinspired Shape‐Memory Hook Fasteners With Programmable Interlocking and Silent Release

open access: yesAdvanced Engineering Materials, EarlyView.
Bioinspired hook fasteners made from epoxy shape‐memory polymers are shown to switch between strong, secure attachment and gentle, silent release when heated. By combining programmable geometry and material response, these adaptive fasteners outperform commercial systems in strength and noise control, enabling new solutions for robotics, medical ...
Maria I. Vallejo Ciro   +3 more
wiley   +1 more source

Load demand fulfillment through GFM-inverter based modified droop-control under various network conditions

open access: yesEnergy Reports
This paper offers a systematic approach to understanding the performance of the grid-forming inverter in both isolated and hybrid configuration with a grid-following inverter in low-voltage distribution network. While most existing studies concentrate on
Qusay Salem   +4 more
doaj   +1 more source

Intermolecular Interactions as Driving Force of Increasing Multiphoton Absorption in a Perylene Diimide‐Based Coordination Polymer

open access: yesAdvanced Functional Materials, EarlyView.
This study uncovers the unexplored role of intermolecular interactions in multiphoton absorption in coordination polymers. By analyzing [Zn2tpda(DMA)2(DMF)0.3], it shows how the electronic coupling of the chromophores and confinement in the MOF enhance two‐and three‐photon absorption.
Simon Nicolas Deger   +11 more
wiley   +1 more source

A review on the suitability of virtual inertia strategies for the next generation of low-inertia power systems

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy
Modern power grids are increasingly challenged by the lack of inertia caused by the high penetration of renewable energy sources (RES). This low inertia leads to reduced frequency stability and greater vulnerability to disturbances. To address this issue,
Mina Valikhany   +3 more
doaj   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Transient Voltage Support Strategy of Grid-Forming Medium Voltage Photovoltaic Converter in the LCC-HVDC System

open access: yesCSEE Journal of Power and Energy Systems
The participation of photovoltaic (PV) plants in supporting the transient voltage caused by commutation failure in the line-commutated-converter-based high voltage direct current (LCC-HVDC) system is of great significance, as it can enhance the DC ...
Hong Lu   +6 more
doaj   +1 more source

Future work on harmonics : some expert opinions part I : wind and solar power [PDF]

open access: yes, 2014
A workshop on power system harmonics was organized in Stockholm in January 2014. On the agenda was among others a discussion on what are the main issues on harmonics at the moment and in the near future.
Amaris, Hortensia   +9 more
core   +1 more source

3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling   +7 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

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