학술논문

Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production
Document Type
Article
Source
In: International Journal of Hydrogen Energy. (International Journal of Hydrogen Energy, 29 February 2024, 57:1000-1009)
Subject
Language
English
ISSN
03603199