Results 141 to 150 of about 592,816 (305)
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
Does Participating in Agricultural Global Value Chains Promote Agricultural Growth?
ABSTRACT This study examines the relationship between GVC participation and agricultural value‐added growth in 43 countries over the period 1995–2022. In contrast to prior literature, we disaggregate the agricultural sector into four sub‐sectors namely crop cultivation, animal production, forestry and fishing.
Taner Turan +2 more
wiley +1 more source
Consequences of Medium‐Pore Zeolite Constraints for Alkene Cracking—The Case of n‐Pentene
Alkene cracking in medium‐pore zeolites is governed by a balance of enthalpic and entropic effects. Intrinsic barriers are quantified and shown to be lower than for alkanes due to stabilization of carbenium‐ion‐like transition states. Confinement and extra‐framework aluminum modulate reactivity by tuning transition‐state energetics, providing a ...
Ruixue Zhao +4 more
wiley +2 more sources
Deep coal-rock gas reservoir is sensitive to downhole pressure variation, and implementing kill operation may cause damage to gas production. Consequently, a full-process pressure-maintained operation technique of dual-tubing jet pump for deep coal-rock ...
Wu Jianjun +6 more
doaj +1 more source
Challenges and enablers in fluidization technology
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley +1 more source
A tandem cell system coupling electrochemical CO2 reduction and electrochemical ethanol oxidation is demonstrated for overall acetate production, providing concepts for a CO2‐negative bioethanol to acetate pathway. ABSTRACT Bioethanol production from biomass is suggested as a strategy for greener fuel production.
Anirudha Shekhawat +5 more
wiley +2 more sources
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +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
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

