Results 181 to 190 of about 9,981 (300)

A Family of Sodium Solid‐State Electrolytes Based on the NaGaxAl1‐xCl4 Solid Solution

open access: yesAdvanced Materials Interfaces, EarlyView.
ABSTRACT Sodium‐based metal chloride solid electrolytes are promising for sodium solid‐state batteries due to their excellent oxidation stability, which, as shown for Li halides, can coexist with high ionic conductivity. To explore cationic substitution effects, we synthesized NaGaxAl1‐xCl4 (0 ≤ x ≤ 1) via ball milling and investigated structural and ...
Hao Guo, Matteo Bianchini
wiley   +1 more source

Human CYP2C9 Metabolism of Organophosphorus Pesticides and Nerve Agent Surrogates. [PDF]

open access: yesJ Xenobiot
Shriwas P   +6 more
europepmc   +1 more source

Microwave Absorption for Detection of Dirac Fermions in SnTe Films

open access: yesAdvanced Materials Interfaces, EarlyView.
Microwave absorption can detect Dirac fermions in samples exposed to the atmosphere. Results showed that although topological surface states are robust against environmental degradation, they are not detectable by electrical transport measurements. Hence, microwave absorption can detect Dirac fermions even in samples whose surfaces have deteriorated ...
Wellington P. do Prado   +8 more
wiley   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

open access: yesAdvanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz   +5 more
wiley   +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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