Results 211 to 220 of about 579,120 (288)

Wafer‐Scale Single‐Crystal Boron Nitride: Synthesis and Integration in 2D Electronics

open access: yesAdvanced Materials Interfaces, EarlyView.
This Review highlights recent breakthroughs in wafer‐scale hBN synthesis and its integration into next‐generation 2D electronics. We analyze growth kinetics, epitaxial strategies, and stacking‐sequence control while correlating material quality with device performance.
Jaewon Wang, Soon‐Yong Kwon
wiley   +1 more source

Bioresorbable Mo–W Electrodes: Toward an Extended Operational Lifetime Through Controlled Alloying and Oxide Coating Engineering

open access: yesAdvanced Materials Interfaces, EarlyView.
Bioresorbable electrochemical sensors face instability in biofluids. Although alloys can mitigate rapid in vivo dissolution, Mo–W remains underexplored for sensing. This work engineers Mo–W films with a nanocrystalline oxide coating, improving stability and enabling reliable oxygen and pH sensing for up to 10 days, highlighting their potential for ...
C. Fernandes   +4 more
wiley   +1 more source

Differential equations with nonlinear boundary conditions

open access: yesJournal of Mathematical Analysis and Applications, 1977
openaire   +2 more sources

Hybrid Magnetoactive Soft Elastomers: Material Development Toward Application in Diaphragm Pumps

open access: yesAdvanced Materials Technologies, EarlyView.
Hybrid magnetoactive soft elastomeric membranes are developed by combining two different types of magnetic particles. The membranes exhibit distinct mechanical, magnetic and thermal properties owing to the unique characteristics of the two magnetic particles.
Somashree Mondal   +4 more
wiley   +1 more source

Nonlinear boundary conditions on AMR grids

open access: yes
Nonlinear rupture boundary conditions on space-time adaptive grids needed for WP ...
openaire   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

open access: yesAdvanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue   +8 more
wiley   +1 more source

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