2 papers
cs.CE2026
A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models
Aricia Rinkens, Rodrigo L. S. Silva, Erik Quaeghebeur +2
Employing Bayesian inference to calibrate constitutive model parameters has grown substantially in recent years. Among the available techniques, Markov Chain Monte Carlo (MCMC) sam…
physics.flu-dyn2026
Bayesian Model Selection for Complex Flows of Yield Stress Fluids
Aricia Rinkens, Clemens V. Verhoosel, Alexandra Alicke +2
Modeling yield stress fluids in complex flow scenarios presents significant challenges, particularly because conventional rheological characterization methods often yield material…