Results 191 to 200 of about 85,873 (259)

High‐Mobility Chalcogenophene‐Engineered Diketopyrrolopyrrole Mixed Ionic‐Electronic Conductors With Doping Tolerance for Low‐Power Organic Electrochemical Transistors

open access: yesAdvanced Materials, EarlyView.
Chalcogen substitution emerges as a powerful strategy for designing high‐performance OMIECs. In aliphatic–glycol side chain diketopyrrolopyrrole polymers, biselenophene incorporation promotes a planar, polarizable, and doping‐tolerant quinoidal framework, enabling PDPP‐4EG‐Se2 to combine high hole mobility, large µC*, enhanced operational stability ...
Shinbee Oh   +9 more
wiley   +1 more source

Descriptor‐Informed Screening of Interface‐Active Molecules for Efficient Magnesium Metal Anodes

open access: yesAdvanced Materials, EarlyView.
A descriptor‐informed molecular screening strategy identifies 4‐bromo‐N, N‐dimethylaniline (BrNNA) as an interface‐active electrolyte component that enables fast Mg stripping/plating in Mg(TFSI)2‐based electrolytes. By simultaneously regulating Mg2+ solvation and interphase formation, the BrNNA‐containing electrolyte delivers activation‐free Mg ...
Hao Xu   +16 more
wiley   +1 more source

Inequities in urban emergency medical services. [PDF]

open access: yesNpj Health Syst
Salley C   +3 more
europepmc   +1 more source

Charge Storage and Dark Photocatalysis in Multivariate Ti‐Based Metal‐Organic Frameworks

open access: yesAdvanced Materials, EarlyView.
The mixed‐linker series of the titanium‐based metal–organic framework COK‐47 enables systematic tuning of photoresponsiveness and (dark) photocatalytic activity, deepening our understanding of structure‐property‐function relationships. Tailored metal‐to‐ligand charge transfer between the secondary building units (metal‐oxo layers and organic linkers ...
Julia E. Knapp   +11 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

open access: yesAdvanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng   +24 more
wiley   +1 more source

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