JOURNAL ARTICLE

Machine learning and high-throughput computational screening of hydrophobic metal–organic frameworks for capture of formaldehyde from air

Keywords:
Adsorption Formaldehyde Metal-organic framework Support vector machine Random forest Univariate Metric (unit) Selectivity Extreme learning machine Computer science Materials science Artificial neural network Biological system Machine learning Artificial intelligence Chemistry Multivariate statistics Physical chemistry Organic chemistry Engineering

Metrics

72
Cited By
3.02
FWCI (Field Weighted Citation Impact)
52
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Metal-Organic Frameworks: Synthesis and Applications
Physical Sciences →  Chemistry →  Inorganic Chemistry
Covalent Organic Framework Applications
Physical Sciences →  Materials Science →  Materials Chemistry
Catalytic Processes in Materials Science
Physical Sciences →  Materials Science →  Materials Chemistry
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