The ability to accurately model and simulate chemical processes has been paramount to the
growing success and efficiency in process design and operation. These improvements …

The current interest in the combustion chemistry of hydrocarbon fuels, including the various
alcohol and biodiesel compounds, motivates this review of the methods and application of …

The manufacturing of pharmaceutical dosage forms, which has traditionally been a batch-
wise process, is now also transformed into a series of continuous operations. Some …

In this work we present the new PAH-PP soot model and use a data collaboration approach
to determine some of its parameters. The model describes the formation, growth and …

This work proposes a kinetic model and an inception pathway for the flame synthesis of
silica nanoparticles from tetraethoxysilane (TEOS). The kinetic model for the decomposition …

This paper introduces stochastic weighted particle algorithms for the solution of multi-
compartment population balance equations. In particular, it presents a class of fragmentation …

We implement an algorithm which estimates parameters of an internal combustion engine
model using a Bayesian approach and employs an experimental design technique to …

We apply a Bayesian parameter estimation technique to a chemical kinetic mechanism for n‐
propylbenzene oxidation in a shock tube to propagate errors in experimental data to errors …

This paper presents a multi-compartment population balance model for wet granulation
coupled with DEM (discrete element method) simulations. Methodologies are developed to …

This paper presents results of parameterisation of typical input–output relations within
process flow sheet of a biodiesel plant and assesses parameterisation accuracy. A variety of …