Results 121 to 130 of about 39,051 (262)

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

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

Competitive Adsorption of a Monoclonal Antibody and Nonionic Surfactant at the PDMS/Water Interface. [PDF]

open access: yesMol Pharm, 2023
Shen K   +11 more
europepmc   +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

Effects on Adsorption Desulfurization of CeY Zeolites:Acid Catalysis and Competitive Adsorption [PDF]

open access: yesActa Physico-Chimica Sinica, 2014
QIN Yu-Cai   +6 more
openaire   +1 more source

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