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Krista S. Walton

Georgia Institute of Technology

Atlanta, GA 30332

United States

  • Georgia Institute of Technology

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Scholarly Papers (1)

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Discrepancy Quantification between Experimental and Simulated Data of Co2 Adsorption Isotherm Using Hierarchical Bayesian Estimation

Number of pages: 35 Posted: 23 Mar 2022
Sotaro Kojima, Jongwoo Park, Eli A. Carter, Krista S. Walton, Matthew J. Realff, David S. Sholl, Tomoyuki Yajima, Junpei Fujiki and Yoshiaki Kawajiri
affiliation not provided to SSRN, affiliation not provided to SSRN, Georgia Institute of Technology, Georgia Institute of Technology, Georgia Institute of Technology - School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Nagoya University, Nagoya University and Nagoya University
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Abstract:

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Adsorption Isotherm, Carbon dioxide, Hierarchical Bayesian model, Parameter estimation, Probability distributions