Bayesian model selection for graphite oxidation by molecular oxygen informed by new data

2026/07/16 by Kaan Kirmanoglu, Nicholas A. Anderson, Francesco Panerai +2
Decision Sciences · Materials Science · #Probabilistic and Robust Engineering Design #Graphite, nuclear technology, radiation studies #Machine Learning in Materials Science

paper · doi:10.1016/j.carbon.2026.121877

Citations

• Rate Effects in Hypersonic Flows
• Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
• Making best use of model evaluations to compute sensitivity indices