Results 201 to 210 of about 528,405 (282)

From Copper Nanoparticles to Alumina Encapsulated Porous Layers With Enhanced Mechanical Stability

open access: yesAdvanced Materials Interfaces, EarlyView.
This study analyzes the synthesis‐structure relation of individual Cu nanoparticles and highly porous nanoparticle‐based Cu films using different sputtering‐based nanoparticle sources. The inherent mechanical instability of the films is tackled with Al2O3 encapsulation through atomic layer deposition, enabling 4‐fold increase in critical force in ...
Dominik Gutnik   +6 more
wiley   +1 more source

Editorial. [PDF]

open access: yesAddict Behav Rep
Casale S, Müller SM, Brand M.
europepmc   +1 more source

Optical Detection and Modeling of Lithium Deposition on Copper Current Collectors

open access: yesAdvanced Materials Interfaces, EarlyView.
ABSTRACT Understanding lithium (Li) deposition on copper (Cu) substrates is essential for improving the performance and lifetime of zero–excess lithium metal batteries. In this study, Li deposition was investigated under realistic coin–cell conditions using complementary scanning electron microscopy and laser scanning microscopy. A semi–automatic image
Tjark T. K. Ingber   +4 more
wiley   +1 more source

Editorial: Myelopathies and spinal cord injuries: advances and controversies in pathophysiology, diagnosis, and treatment

open access: yesFrontiers in Neurology
Michael Poon   +8 more
doaj   +1 more source

Pattern Formation in Non‐Equilibrium Architected Materials

open access: yesAdvanced Materials Technologies, EarlyView.
This article demonstrates an artificial mechanical system ‐ a robotic metamaterial ‐ as an accessible and versatile platform within which to explore and prescribe the reaction‐diffusion driven pattern formation hitherto associated with comparatively less accessible and versatile non‐equilibrium biological and chemical systems.
Vinod Ramakrishnan, Michael J. Frazier
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

Nitroxide‐Mediated Photo‐Polymerization: A Swiss Army Knife for Microfluidic Design

open access: yesAdvanced Materials Technologies, EarlyView.
This article illustrates the application of NMP2 to the rapid (less than 1 h) photostructuring and sealing of model structures intended for microfluidic applications. Remarkably, the careful design of resin composition allows completing these steps by simply spreading bare monomer (i.e., no added photoinitiator) on top of the bottom layer embedding ...
Carlo Gonzato   +5 more
wiley   +1 more source

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