The strength of multi-scale modeling to support the fundamental understanding and design
of radical polymerization processes is illustrated, considering both controlled and free …

Monte Carlo methods are heuristic algorithms that use probabilities to select an outcome
among several possible events in a given process. Monte Carlo methods are useful in …

Stochastic modeling techniques have emerged as a powerful tool to study the time evolution
of processes in many research fields including (bio) chemical engineering and biology. One …

The performance of polymeric materials depends strongly on the control over the polymer
microstructure during the synthesis step. In this review, attention is paid to the potential of …

Composite binary trees are introduced for an improved kinetic Monte Carlo (kMC)
calculation of chemical composition-chain length distributions (CC-CLDs) in polymerization …

The molecular weight distribution (MWD) is possibly the most important characteristic of a
polymer. Polymers derive many of their physical properties from their MWD. Therefore, since …

Monte Carlo (MC) is a term quite common in the research community but, quite surprisingly,
it may possess a different meaning among researchers in different areas. This paradox is …

Free-radical induced grafting (FRIG) is an important synthesis route to produce graft
copolymer (GC), which possesses unique macroscopic properties but complicated non …

Absolute electron spray ionization mass spectrometry (ESI-MS) data are reported, for the first
time, over the complete chain length range for the synthesis of well-defined macromonomers …

Despite the established superiority in finding the global as well as well-spread Pareto
optimal (PO) points, the need of more numbers of function evaluations for population based …