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Machine learning methods help accurate estimation of the hydrogen solubility in biomaterials
Article (Web of Science)
International Collaboration
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Research
Additional Document Info
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Overview
cited authors
Cao, Yan; Karimi, Mehdi; Kamrani, Elham; Nourani, Pejman; Manesh, Afshin Mohammadi; Momenieskandari, Homa; Anqi, Ali E.
publication date
January 19, 2022
webpage
Web of Science
published in
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Journal
Research
category
ENERGY & FUELS
Category
keywords
Biomaterials
Data-driven approach
Equations of state
Gene expression programming
Hydrogen solubility
Additional Document Info
start page
3611
end page
3624
volume
47
issue
6