This paper provides an industrial perspective for the development of polymer reaction
engineering models and their application to create new materials, products, and improved or …

Multi-scenario optimization is a convenient way to formulate and solve multi-set parameter
estimation problems that arise from errors-in-variables-measured (EVM) formulations. These …

A generalized multiscale modeling framework is described for the digital simulation of a high‐
pressure low‐density polyethylene (LDPE) tubular reactor. According to the proposed …

In this work, we present a general nonlinear model predictive control (NMPC) framework for
low-density polyethylene (LDPE) tubular reactors. The framework is based on a first …

Polyethylene-graft-poly (tert-butylacrylate)(PE-gP t BA) copolymers were prepared by using
a combination of ring-opening metathesis polymerization (ROMP), hydrobromination, and …

A novel stochastic algorithm is described for the accurate prediction of the detailed
molecular topology of highly branched polymer chains. Stochastic topological polymer chain …

A commercial low-density polyethylene (LDPE) which is produced by the polymerization
process of ethylene in the presence of initiators in a long tubular reactor is the most widely …

We propose a simultaneous approach for the solution of the associated DAE-constrained
parameter estimation problem. Parameter estimation is an essential task in the development …

This paper presents a model-based approach for on-line monitoring of difficult-to-measure
quality variables with the description of their dynamic behavior. The strategy comprises the …

In the present work, a novel kinetic/topology Monte Carlo algorithm is developed for the
prediction of molecular, topological and solution properties of highly branched low-density …