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Author

T. Ikeshoji

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Open access Oct 2026

Hybrid sampling approach to machine-learning potentials for gas adsorption: Hydrogen adsorption in MOF-303

Porous materials such as metal-organic frameworks (MOFs) are widely studied for applications in catalysis and gas adsorption, including carbon dioxide capture and hydrogen storage for energy and environmental challenges. Accurate simulation of gas adsorption in these materials remains challenging because most approac...

K. Sau, I. Hamada, T. Ikeshoji et al. · 0 citations

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