Results 221 to 230 of about 7,242,747 (306)

Passivated SiC Surfaces for Photonic and Quantum Applications: Balancing Chemical Stability and Surface Luminescence

open access: yesAdvanced Materials Interfaces, EarlyView.
Low‐temperature passivation of SiC reveals that optical surface quality and chemical stability are not directly correlated. Ar plasma‐treated and SiNx‐passivated surfaces yield the lowest photoluminescence background, whereas CF4 plasma and ALD‐grown dielectrics introduce higher emission.
Marina Scharin‐Mehlmann   +4 more
wiley   +1 more source

Mechanically Robust MXene‐Metal Polyphenol Network Hybrid Interfaces for Multifunctional Protection of Keratin Fibers

open access: yesAdvanced Materials Interfaces, EarlyView.
Hair keratin fibers inevitably deteriorate under UV exposure, heat, and dryness. A robust composite coating assembles delaminated Ti3C2 MXene nanosheets onto keratin surfaces through biocompatible metal‐polyphenol networks of EGCG. This hybrid layer simultaneously screens UV, dissipates heat, reinforces mechanical strength, suppresses static charge ...
Juyeon Kang   +8 more
wiley   +1 more source

Anti‐Slip Material‐Based Strategies and Approaches

open access: yesAdvanced Materials Technologies, EarlyView.
This review highlights the principle mechanisms of slipping at the microscale, linking contact mechanics with a friction behavior model for surface interfaces. Main strategies to develop anti‐slip properties to the surfaces are discussed alongside standardized testing approaches.
Sogand Abbaspoor‐Zanjani   +3 more
wiley   +1 more source

Characterization and Design Framework for Micro‐ and Nanoscale Printed Metal Interconnects in Hybrid Electronic Systems

open access: yesAdvanced Materials Technologies, EarlyView.
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue   +6 more
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

Correction: Determination of canine ROTEM Sigma reference ranges and comparative analysis with ROTEM Delta. [PDF]

open access: yesFront Vet Sci
Jourdan A   +6 more
europepmc   +1 more source

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