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
Sustainable utilization of waste expanded polystyrene in cellulose acetate polymer blend membranes for CO<sub>2</sub>/CH<sub>4</sub> separation. [PDF]
Nayak B, Gauswami M, Kuncharam BVR.
europepmc +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Depolymerization and Reuse of Polycarbonates: Emerging Classes, Mechanisms and Challenges
This review collects the latest developments in the area of chemical and catalytic polycarbonate recycling strategies and includes the controlled degradation of similar types of macromolecules. Apart from the main strategies for deconstruction, the key mechanistic features of these depolymerization processes are also discussed together with the ...
Davide Rigo +4 more
wiley +2 more sources
Increased CH<sub>4</sub> Oxidation in Arctic Tundra Ecosystems Caused by Vegetation-Mediated Soil Drying. [PDF]
Björkman MP +8 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Ammonia‐Induced Metal–Organic Framework Membrane Pore Tuning for Hydrogen Separation
Impurity‐enabled pore tuning is achieved by harnessing trace ammonia, typically regarded as a harmful contaminant, as a reactive agent to modulate the surface structure and flexibility of ZIF‐8 membranes. Ammonia exposure induces partial surface amorphization and local rigidification, shifting the transport mechanism from a flexible to an intrinsic gas‐
Eunji Choi +9 more
wiley +2 more sources
Programmable Pore Environments in Multivariate ZIF Membranes for Ultra-Selective Helium Recovery from Natural Gas. [PDF]
Liu Y +8 more
europepmc +1 more source
Wetland CH4 fluxes from the CH4-DAS
CH4 flux maps for Europe at 0505 for 20102015 using the CH4DAS and their comparison to ...
openaire +1 more source
Matrimid‐derived asymmetric carbon molecular sieve (CMS) hollow fibers enable ultraselective helium/methane (He/CH4) separation. Post‐pyrolysis hyperaging selectively tightens larger ultramicropores, enhancing He/CH4 discrimination while maintaining high He permeance.
Zhongyun Liu +3 more
wiley +2 more sources

