Analyzing acetylene adsorption of metal–organic frameworks based on machine learning

Pei‐Song Yang; Gang Lu; Qingyuan Yang; Lei Liu; Xin Lai; Duli Yu

doi:10.1016/j.gee.2021.01.006

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Analyzing acetylene adsorption of metal–organic frameworks based on machine learning

Pei‐Song Yang Gang Lu Qingyuan Yang Lei Liu Xin Lai Duli Yu

Year: 2021 Journal: Green Energy & Environment Vol: 7 (5)Pages: 1062-1070 Publisher: KeAi

DOI: 10.1016/j.gee.2021.01.006

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Keywords:

Adsorption Support vector machine Acetylene Metal-organic framework Computer science Quantitative structure–activity relationship Decision tree Artificial neural network Feature (linguistics) Materials science Biological system Artificial intelligence Machine learning Pattern recognition (psychology) Chemistry Organic chemistry

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Metal-Organic Frameworks: Synthesis and Applications

Physical Sciences → Chemistry → Inorganic Chemistry

Machine Learning in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

Corrosion Behavior and Inhibition

Physical Sciences → Materials Science → Materials Chemistry

Analyzing acetylene adsorption of metal–organic frameworks based on machine learning

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Citation History

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