A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials

标题
A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials
作者
关键词
Uncertainty Quantification, Bayesian Inference, Plasma Flows, Catalysis, Thermal Protection Systems, Surrogate Model, Markov Chain Monte Carlo
出版物
APPLIED MATHEMATICAL MODELLING
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2021-08-04
DOI
10.1016/j.apm.2021.07.019

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