ACS Engineering Au
ACS Engineering Au
期刊ISSN: 2694-2488
E-ISSN: -
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自引率: 0%
SCI期刊JCR分区
SCI期刊JCR分区等级:2区
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ENGINEERING, CHEMICAL
Q2
ENGINEERING, CHEMICAL
Q2
《新锐期刊分区表》(2026年3月发布)
大类学科
工程技术
3区
小类学科
工程:化工
3区
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综述期刊
最新中科院SCI期刊分区(2025年3月升级版)
大类学科
工程技术
3区
小类学科
工程:化工
3区
Top期刊
综述期刊
期刊简介
ACS Engineering Au is an open access journal that reports significant advances in chemical engineering, applied chemistry, and energy covering fundamentals, processes, and products. The journal's broad scope includes experimental, theoretical, mathematical, computational, chemical, and physical research from academic and industrial settings. Short letters, comprehensive articles, reviews, and perspectives are welcome on topics that include: Fundamental research in such areas as thermodynamics, transport phenomena (flow, mixing, mass & heat transfer), chemical reaction kinetics and engineering, catalysis, separations, interfacial phenomena, and materials Process design, development, and intensification (e.g., process technologies for chemicals and materials, synthesis and design methods, process intensification, multiphase reactors, scale-up, systems analysis, process control, data correlation schemes, modeling, machine learning, Artificial Intelligence) Product research and development involving chemical and engineering aspects (e.g., catalysts, plastics, elastomers, fibers, adhesives, coatings, paper, membranes, lubricants, ceramics, aerosols, fluidic devices, intensified process equipment) Energy and fuels (e.g., pre-treatment, processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells, hydrogen, batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation) Measurement techniques, computational models and data on thermo-physical, thermodynamic, and transport properties of materials and phase equilibrium behavior New methods, models and tools (e.g., real-time data analytics, multi-scale models, physics informed machine learning models, machine learning enhanced physics-based models, soft sensors, high-performance computing)
出版信息
出版商
American Chemical Society
涉及的研究方向
化学工程技术-
刊期
Bimonthly
年文章数
29
出版国家或地区
UNITED STATES
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