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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