Results 151 to 160 of about 41,837 (298)

Initiation: A Critical Step for High Activity and Stability in Ni‐Based Methane Dry Reforming Catalysts Supported on θ‐Al2O3

open access: yesAngewandte Chemie, EarlyView.
A well‐defined Ni/θ‐Al2O3 catalyst prepared by surface organometallic chemistry exhibits sharp temperature‐dependent behavior in dry reforming of methane. At 850°C, a dynamic induction process forms a transient carbide‐like NiCx phase that enables continuous carbon removal and coke resistance, whereas at 800°C incomplete carbon insertion leads to ...
Wei Wang   +3 more
wiley   +2 more sources

Breaking the Durability–Power Trade‐Off: Boron‐Directed Faceted O3 Cathodes for High‐Rate Sodium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song   +9 more
wiley   +1 more source

Covalent Organic Framework–Carbon Nanotube Core–Shell Nanohybrids for Enhanced Catalytic Site Utilization of Molecular Catalysts in CO2 Electroreduction

open access: yesAngewandte Chemie, EarlyView.
Covalent organic framework–carbon nanotube (COF–CNT) core–shell nanohybrids are developed as an efficient platform to enhance the site utilization of molecular catalysts for electrochemical CO2 reduction. The well‐defined nanostructure promotes catalytic site accessibility, achieving CO turnover frequencies among the highest reported to date.
Liang Yao   +8 more
wiley   +2 more sources

Stage‐Specific Roles of Deep Eutectic Solvents in Recycling of Spent Lithium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Deep eutectic solvents (DESs) offer tunable acidity, redox, and coordination properties for selective recycling of spent lithium‐ion battery cathodes. Through co‐dissolution, single‐ and two‐metal separations, DESs enable sustainable recovery of critical metals for closed‐loop regeneration of battery‐grade materials, advancing a circular economy for ...
Jingxiu Wang   +4 more
wiley   +1 more source

Catalysis AI Agent Guides Discovering the Universal Design Principle of Cu‐Based Single‐Atom Alloy Catalysts for CO2 Electroreduction

open access: yesAngewandte Chemie, EarlyView.
Artificial intelligence (AI) enables the systematic analysis and comparative evaluation of experimental and theoretical data, optimizes the catalytic reaction research workflow, and accelerates the discovery of high‐performance electrocatalysts. ABSTRACT Copper (Cu)‐based single‐atom alloys (SAAs) represent a promising strategy for optimizing the ...
Xuning Wang   +5 more
wiley   +2 more sources

Active Site Determination of Heterogenized Molecular Electrocatalysts

open access: yesAdvanced Energy Materials, EarlyView.
Here, we develop a methodology to examine the active site availability of immobilized transition‐metal molecular complexes via cyclic voltammetry. By using varying loadings of the molecular complex FeTPP physically immobilized onto Vulcan Carbon, we show the influences of FeTPP/VC ratios on the total number of active sites.
Elena Antoniono   +3 more
wiley   +1 more source

Orbital‐Selective Modulation of Spatial pz‐s Hybridization for Enhanced Photocatalytic H2 Evolution: Insights From NiSe@ReS2+x Cocatalyst

open access: yesAngewandte Chemie, EarlyView.
Spatial orbital‐selective modulation engineering is proposed as a strategy to optimize cocatalyst design, enhance photocatalytic activity, and provide novel insights into the interactions between active sites and adsorbates, as well as catalytic mechanisms.
Duoduo Gao   +5 more
wiley   +2 more sources

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk   +4 more
wiley   +1 more source

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