Machine learning models for the prediction of diffusivities in supercritical CO2 systems
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DOI: 10.1016/j.molliq.2021.115281
Abstract: Abstract The molecular diffusion coefficient is fundamental to estimate dispersion coefficients, convective mass transfer coefficients, etc. Since experimental diffusion data is scarce, there is significant demand for accurate models capable of providing reliable diffusion coefficient… read more here.
Keywords: machine; models prediction; learning models; prediction diffusivities ... See more keywords