Journal
MICROPOROUS AND MESOPOROUS MATERIALS
Volume 208, Issue -, Pages 50-54Publisher
ELSEVIER
DOI: 10.1016/j.micromeso.2015.01.037
Keywords
Adsorption; Artificial neural network; Gas storage; MOFs
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In this study, artificial neural network was developed to forecast adsorption capacity of hydrogen gas in metal organic frameworks. Surface area, adsorption enthalpy, temperature and pressure were selected as input parameters. Hydrogen storage capacities of MOFs were computed using these four parameters. An artificial neural network was used to model the adsorption process. The prediction results were remarkably agreed with the experimental data. (C) 2015 Elsevier Inc. All rights reserved.
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