Uncertainty quantification via bayesian inference using sequential monte carlo methods for CO2adsorption process

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This publication is about how to characterize the parametric uncertainties of a complex chemical process model. The paper demonstrates the methodology of using sequential monte carlo within Bayesian framework with the application of post combustion carbon capture process.

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