Predicting hydrogen storage in metal-organic frameworks using a novel hybrid machine learning model

JOURNAL ARTICLE

Year: 2025 Journal: International Journal of Hydrogen Energy Vol: 145 Pages: 401-411 Publisher: Elsevier BV

DOI: 10.1016/j.ijhydene.2025.06.112

Keywords:

Hydrogen storage Computer science Metal-organic framework Process engineering Hydrogen Materials science Chemistry Organic chemistry Engineering

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Cited By

6.16

FWCI (Field Weighted Citation Impact)

101

Refs

0.92

Citation Normalized Percentile

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Metal-Organic Frameworks: Synthesis and Applications

Physical Sciences → Chemistry → Inorganic Chemistry

Covalent Organic Framework Applications

Physical Sciences → Materials Science → Materials Chemistry

Hydrogen Storage and Materials

Physical Sciences → Materials Science → Materials Chemistry