Results 141 to 150 of about 32,814 (317)

Fuel Effects on Aviation Engine Emissions: A Chemical Reactor Network Modeling Study. [PDF]

Energy Fuels
Lopez-Pintor D, MacDonald J, Ramirez-Correa E, Garcia-Oliver JM, Payri R, Marti Gomez-Aldaravi P, Leyland P.   +6 more
europepmc   +1 more source

Gaseous tracers in receptor modeling: methyl chloride emission from wood combustion

, 1985
Sylvia A. Edgerton
openalex   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
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

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

Angewandte 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, Milivoj Plodinec, Wei Zhou, Christophe Copéret   +3 more
wiley   +2 more sources

Prediction of Temperature Intervals Driven by Multiple Indicator Gases during Spontaneous Coal Combustion and Oxidation. [PDF]

ACS Omega
Zhang T, Jia B, Zhang D, Jia J.
europepmc   +1 more source

General Thermodynamic Analysis for Engine Combustion Modeling

, 1985
Elia C. Bedran, Gian Paolo Beretta
openalex   +2 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
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, Christian Mark Pelicano   +1 more
wiley   +1 more source

Peat fires contribute disproportionately to Siberian fire carbon emissions. [PDF]

Sci Adv
Khairoun A, Ciais P, Nguyen TH, Qiu C, Fang C, Aires F, Veraverbeke S, Delcourt CJF, Zheng B, Chuvieco E.   +9 more
europepmc   +1 more source

MODELING OF SPRAY COMBUSTION IN AN AERONAUTICAL BURNER

, 2015
Damien Paulhiac
openalex   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source