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Volumn 208, Issue , 2015, Pages 50-54
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Prediction of gas storage capacities in metal organic frameworks using artificial neural network
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Author keywords
Adsorption; Artificial neural network; Gas storage; MOFs
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Indexed keywords
ADSORPTION;
CRYSTALLINE MATERIALS;
DIGITAL STORAGE;
FORECASTING;
HYDROGEN;
NEURAL NETWORKS;
ORGANOMETALLICS;
ADSORPTION CAPACITIES;
ADSORPTION ENTHALPIES;
GAS STORAGE;
GAS STORAGE CAPACITY;
HYDROGEN STORAGE CAPACITIES;
METAL ORGANIC FRAMEWORK;
MOFS;
TEMPERATURE AND PRESSURES;
HYDROGEN STORAGE;
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EID: 84922552123
PISSN: 13871811
EISSN: None
Source Type: Journal
DOI: 10.1016/j.micromeso.2015.01.037 Document Type: Article |
Times cited : (48)
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References (24)
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