Results 221 to 230 of about 348,558 (312)

Solvent Co‐Intercalation Enabled Ca Storage in MoS2 for Ca‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Regulating electrolyte solvation levels enables otherwise non‐intercalatable Ca2+ ions to reversibly co‐intercalate into molybdenum disulfide (MoS2) as ether‐solvated species. The intercalation reversibility is strongly governed by solvent chain length, as demonstrated using diethylene glycol dimethyl ether (G2) and tetraethylene glycol dimethyl ether (
Yudong Luo   +10 more
wiley   +1 more source

Residual‐Lithium‐to‐LiF Conversion Enables a LiF–Fluorinated Carbon Interphase for Reconstruction‐Resistant Ni‐Rich Cathodes

open access: yesAdvanced Functional Materials, EarlyView.
A fluorine‐rich acrylate monomer (PFHEA) was solvent‐free applied to NCM90 and thermally decomposed under Ar to convert residual lithium into LiF and form a pre‐built LiF/fluorinated amorphous carbon (LiF/FC) interphase. The LiF/FC layer suppresses NiO rock‐salt reconstruction and microcrack propagation, lowers interfacial resistance, and improves Li ...
Pangyu Kim   +6 more
wiley   +1 more source

Glacier Melt as a Source of Mercury: Implications for Ecosystem Recovery and Environmental Trends. [PDF]

open access: yesEnviron Sci Technol
Mattio D   +12 more
europepmc   +1 more source

Coating Artificial Spider Silk Fiber with Magnetic FeCo: An Effective Strategy for Creating a Flexible Magneto‐Responsive Material

open access: yesAdvanced Functional Materials, EarlyView.
An original method is presented for producing artificial spider silk fibers with magnetic and magnetomechanical responsiveness, which consists in coating them with a nanometer‐thick layer of FeCo alloy by sputtering deposition. The challenge of combining organic materials and inorganic magnetic nanostructures is addressed, thus taking a step forward ...
Filippo Lanaro   +5 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

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