Abstract:Accurate chemical kinetics are essential for reactor design and
operation. However, despite recent advances in “big data” approaches,
availability of kinetic data is often limited in industrial practice.
Herein, we present a comparative proof-of-concept study for kinetic
parameter estimation from limited data. Cross-validation (CV) is
implemented to nonlinear least-squares (LS) fitting and evaluated
against Markov chain Monte Carlo (MCMC) and genetic algorithm (GA)
routines using synthetic data generated from … Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.