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- W2067209663 abstract "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." @default.
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- W2067209663 date "2015-05-01" @default.
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- W2067209663 title "Prediction of gas storage capacities in metal organic frameworks using artificial neural network" @default.
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