Results 251 to 260 of about 32,050 (347)
Ionogels dynamically and functionally couple ionic liquids with polymer networks, enabling multiscale programmable deformation and motion under electrical, magnetic, optical, thermal, humidity, and chemical stimuli. This article systematically elucidates the constituent components, structural design, and multiscale actuation mechanisms of ionogel ...
Dezhou Cao +5 more
wiley +1 more source
Low-temperature molten-salt enabled synthesis of highly-efficient solid-state emitting carbon dots optimized using machine learning. [PDF]
Lan Y +10 more
europepmc +1 more source
MXene‐Based Flexible Memory and Neuromorphic Devices
The unique two‐dimensional structure, excellent electrical conductivity, and diverse surface groups of MXenes have garnered significant attention. Coupled with their exceptional flexibility, MXene‐based devices hold immense potential for flexible memory and neuromorphic systems. This review comprehensively discusses the fundamentals of flexible devices,
Yan Li +13 more
wiley +1 more source
This review critically compares the electrochemical performance of carbon‐based and alloy‐type anodes for sodium‐ion batteries, with an emphasis on strategies that enhance practical deployment. It highlights how synergistic optimization of microstructure, electrolyte, and presodiation improves hard carbon, while nanostructuring and interfacial ...
Anele Tshaka +3 more
wiley +1 more source
Fluoride-Free MXene-Polymer Composites for Li-Metal and Li-S Batteries: Comparative Synthesis Methods, Integration Rules, Challenges, and Future Directions. [PDF]
Khang TL, Bae J.
europepmc +1 more source
ABSTRACT The controlled removal of corrosion products is a persistent challenge in fields ranging from industrial alloy protection to cultural heritage conservation. Achieving high precision and selectivity in subtractive treatments remains difficult because of chemical complexity and structural heterogeneity of the corrosion layers.
Yumei Chai +5 more
wiley +1 more source
Toward a Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry-Informed Transfer Learning. [PDF]
Barra J +8 more
europepmc +1 more source
THE PREPARATION OF URANIUM DIOXIDE FROM A MOLTEN SALT SOLUTION OF URANYL CHLORIDE
W.L. Lyon, E.E. Voiland
openalex +2 more sources

