Prediction of hydrogen storage in metal-organic frameworks using CatBoost-based approach
Author:
Funder
National Key Research and Development Program of China
Publisher
Elsevier BV
Reference35 articles.
1. Optimizing Co2+ concentration on high-index Co3O4 facets enhances the catalytic performance in NaBH4 hydrolysis;Dabaro;Int J Hydrogen Energy,2024
2. A combination of multi-scale calculations with machine learning for investigating hydrogen storage in metal organic frameworks;Giappa;Int J Hydrogen Energy,2021
3. A review on current trends in potential use of metal-organic framework for hydrogen storage;Shet;Int J Hydrogen Energy,2021
4. An assessment of strategies for the development of solid-state adsorbents for vehicular hydrogen storage;Allendorf;Energy Environ Sci,2018
5. Toward hydrogen storage material in fluorinated zirconium metal-organic framework (MOF-801): a periodic density functional theory (DFT) study of fluorination and adsorption;Prasetyo;Int J Hydrogen Energy,2021
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