Results 191 to 200 of about 128,908 (264)

Ionic Cocrystal Programming of Spatial Ionic Organization in Carbon Nitrides Enables Highly Efficient H2O2 Photosynthesis

open access: yesAdvanced Materials, EarlyView.
Ionic cocrystal‐programmed ionic organization establishes a general strategy for electrostatic programming in polymeric photocatalysts. ABSTRACT Controlling the spatial organization of ions in polymeric photocatalysts remains a fundamental challenge for optimizing charge transport and catalytic selectivity in solar‐driven hydrogen peroxide (H2O2 ...
Anna Lo Presti   +6 more
wiley   +1 more source

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

Helicity‐Defined Analog Conductance States in Chiral Perovskite Synapses

open access: yesAdvanced Materials, EarlyView.
Chiral perovskite synapses convert the handedness of circularly polarized light into persistent analog memory during electrical programming. An optimized n = 3 structure combines strong helicity selectivity with low read noise, enabling 72 distinct conductance levels.
Min Jong Lee   +16 more
wiley   +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

Methanesulfonic Acid as a Dual‐Role Reagent for Porous Polymer Network Design

open access: yesAdvanced Materials, EarlyView.
The design of porous polymer networks (PPNs) using methanesulfonic acid (MSA) as a dual‐role reagent facilitates the synthesis of robust PPNs for specific applications. It also makes the scale‐up process techno‐economically feasible because MSA functions simultaneously as both a solvent and a catalyst for the reaction.
Kelechi Festus   +8 more
wiley   +1 more source

In Situ Formation of a Highly Selective Nickel Single Atom Catalyst for Electrochemical CO2 Reduction to CO

open access: yesAdvanced Materials, EarlyView.
Development of a novel method for synthesizing Ni single atom catalysts for highly selective electrochemical CO2 reduction in situ. This catalyst achieves 100% selectivity for CO and is formed in an industrially relevant cell architecture. Using post‐mortem XRD, STEM, and EDS and operando XAS, the identity of the active site and the mechanism behind ...
Ian Street   +5 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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