Kinetic information is used to determine the optimal reaction conditions, to successfully scale
up a reaction from the laboratory to the pilot plant, and to improve process control. Obtaining …

Abstract Model-based methods are increasingly used in all areas of biopharmaceutical
process technology. They can be applied in the field of experimental design, process …

The current manuscript describes the role and importance of catalysis and solvent effects for
the Biginelli multicomponent reaction. The overwhelming number of new catalysts and …

Automation and feedback optimization are combined in a smart laboratory platform for the
purpose of identifying appropriate kinetic models online. In the platform, model-based …

Abstract Model inference is a challenging problem in the analysis of chemical reactions
networks. In order to empirically test which, out of a catalogue of proposed kinetic models, is …

This paper links the chemical kinetic models that obey the framework of nonlinear statistical
models with optimal design theory. We provide the appropriate optimal designs for them, so …

Continuous flow laboratory reactors are typically used for the development of kinetic models
for catalytic reactions. Sequential model-based design of experiments (MBDoE) procedures …

Microkinetic analysis of ethanol to 1, 3-butadiene reactions over MgO-SiO 2 catalysts was
performed based on the detailed characterization of experimental fluctuations, taking into …

Over the last decade, surrogate modelling technique has gained wide popularity in the field
of uncertainty quantification, optimization, model exploration and sensitivity analysis. This …

Abstract The Nernst–Planck approach, previously used to model the electrodialytic recovery
of uni-, di or tri-valent electrolytes, was used to accomplish the desalination of concentrated …