Development of high performance catalysts for CO oxidation using data-based modeling

Optimization and statistical analysis of Au-ZnO/Al2O3 catalyst for CO oxidation

“…In this study, HSS was selected since it attains easier implementation than UD. The details of HSS can be 5 found in [7].…”

“…However, GPR attains shorter computation time. As a result, GPR was adopted as the modeling method in this study and the details can be found in [5].…”

“…In our former study [5], a rapid optimization method was implemented to handle the balance between predictive mean and variance. However, the maximization of expected improvement (EI) [21] approach is not suitable for this study, since the existing highest reactivity during DoE phase was already very high (99%).…”

“…In our former work [5], the recipe was screened with noble metal-promoter/support combination, four choices for each component. The screening procedure chose Au-ZnO/Al 2 O 3 , after which modeling and optimization methods were applied to optimize the catalytic performance.…”

Model-aided optimization and analysis of multi-component catalysts: Application to selective hydrogenation of cinnamaldehyde

“…In the literature, model exploitation and space exploration have been successfully combined by using the statistical measure of expected improvement (EI) (Jones, 2001). EI has been applied for model-aided optimization of various catalytic processes, including epoxidation of trans-stilbene (Yan et al, 2011a), CO oxidation (Yan et al, 2011b), and the Friedel-Crafts reaction (Omata, 2011). In this work, EI is implemented for the purpose of reliable optimization.…”