JOURNAL ARTICLE
Advancing hydrogen storage: Explainable machine learning models for predicting hydrogen uptake in metal-organic frameworks
Saad AlatefiOkorie Ekwe AgwuMenad Nait AmarAhmad Alkouh
Year: 2025 Journal: Results in Engineering Vol: 28 Pages: 107304-107304 Publisher: Elsevier BV
Keywords:
Metrics
3
Cited By
4.62
FWCI (Field Weighted Citation Impact)
80
Refs
0.89
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
Machine Learning in Materials Science
Physical Sciences → Materials Science → Materials Chemistry
Covalent Organic Framework Applications
Physical Sciences → Materials Science → Materials Chemistry
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