Robust dynamic optimization has become an indispensable tool in addressing the inherent uncertainties present in chemical process modelling and control. By integrating optimisation routines with ...
Recent advances in the field of chemical process modelling have underscored the critical role of accurate parameter estimation and model optimisation. Robust models are essential to predict system ...
The aim of this talk is to present the recent efforts made to advance key tasks in Process Systems Engineering (PSE) using new optimization and machine learning methods developed in our group. In the ...
Applying optimization and a graded approach to industrial processes involving naturally occurring radioactive material (NORM) is crucial for ensuring radiation safety, efficiency and regulatory ...
Market valued at $27.64B in 2024, projected 3.94% CAGR growth driven by petroleum refining, green chemistry, biocatalysts, and environmental catalyst demand.