Results 111 to 120 of about 10,373 (258)

Closed‐Loop Recyclable Solid Polymer Electrolytes via Dynamic Lipoate Cross‐Linking

open access: yesAngewandte Chemie, EarlyView.
A visible‐light‐driven, closed‐loop recyclable solid polymer electrolyte is built from a bio‐derived lipoate cross‐linker, poly(ethylene glycol) bis(lipoate) (PEG‐LP2), synthesized from α‐lipoic acid. Dynamic disulfide exchange enables efficient DBU‐catalyzed depolymerization and photo‐repolymerization, regenerating membranes that retain high ionic ...
Qian Huang   +6 more
wiley   +2 more sources

Synergistic Anode Engineering for Aqueous Aluminium Ion Batteries: From Mechanistic Understanding to Computationally Accelerated Design

open access: yesAdvanced Energy Materials, EarlyView.
Mechanistic anode engineering for aqueous aluminium‐ion batteries is discussed through alloying and microstructure control, surface/interface engineering, and electrolyte modification to regulate ion transport, suppress dendrites, passivation, hydrogen evolution, and side reactions, highlighting standardisation, computational acceleration, and ...
Hong Zhao   +3 more
wiley   +1 more source

Acetylene Semi‐Hydrogenation by Photocatalysis

open access: yesAngewandte Chemie, EarlyView.
Photocatalytic acetylene semi‐hydrogenation is an emerging light‐driven route to polymer‐grade ethylene, offering a mild alternative to energy‐intensive thermocatalysis. By replacing H2 co‐feed with water or other proton sources, these systems can achieve high selectivity under ambient conditions.
Anna Fortunato   +6 more
wiley   +2 more sources

Ether‐Based Electrolytes and the Solvation Structure in Sodium Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Ether electrolytes enable high‐performance sodium‐ion batteries through their unique physicochemical properties, particularly distinctive solvation structures and co‐intercalation behavior. However, the localized solvation structure and its dynamic evolution during electrochemical processes remain a “black box”.
Jiaxin Ding, John T. S. Irvine
wiley   +1 more source

Ionic Liquid Electrolytes for Extreme Temperature Conditions: Challenges and Perspective

open access: yesAngewandte Chemie, EarlyView.
Ionic liquids (ILs) have gained great attention as safe electrolyte components in recent years. This review elucidates the temperature effects on IL‐based electrolytes from molecular configurations, physicochemical properties, and interfacial chemistry, raises the challenges and design strategies operating at low‐ and HT, providing valuable guidance ...
En Xie   +11 more
wiley   +2 more sources

Impact of Suberin Depolymerization Conditions on the Thermal Properties and Flammability of Rigid Polyurethane Foams. [PDF]

open access: yesPolymers (Basel)
Ivdre A   +7 more
europepmc   +1 more source

Chemomechanically Adaptive MXene–Si–Ag Dual‐Seed Interlayer Enabling Low‐Pressure Sulfide all‐Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Interfacial chemo‐mechanical instability limits stable operation of sulfide‐based all‐solid‐state batteries under low stack pressure. Here, a chemomechanically adaptive MXene–Si–Ag dual‐seed interlayer integrates immobile and mobile lithiophilic sites within a mechanically compliant MXene framework, regulating Li‐ion flux, stabilizing solid–solid ...
Youngjin Song   +7 more
wiley   +1 more source

A High‐Voltage Membrane‐Free Li–Organic Hybrid Flow Battery Using Eutectic Lithium Chemistry

open access: yesAngewandte Chemie, EarlyView.
A high‐voltage (3.6 V) membrane‐free Li–organic hybrid flow battery is enabled by a deep‐eutectic lithium electrolyte composed of trifluoroacetamide (TFAD) and LiPF6, paired with a dichloromethane (DCM) catholyte containing phenothiazine (PTZ). The TFAD/LiPF6 eutectic provides fast Li+ transport and stable Li‐metal cycling, while the immiscible TFAD ...
Xiao Wang   +7 more
wiley   +2 more sources

Probing Machine Learning Interatomic Potentials on Ion Transport Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
We perform a systematic benchmark of six state‐of‐the‐art universal machine learning interatomic potentials on their ability to predict ion transport properties in lithium‐ and sodium‐based superionic conductors relevant to all‐solid‐state batteries.
Ogheneyoma Aghoghovbia   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy