The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …

The idea of using a simpler surrogate to represent a complex phenomenon has gained
increasing popularity over past three decades. Due to their ability to exploit the black-box …

Reaction optimization is fundamental to synthetic chemistry, from optimizing the yield of
industrial processes to selecting conditions for the preparation of medicinal candidates …

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 …

Carbon capture, utilization, and storage (CCUS) is a promising pathway to decarbonize
fossil-based power and industrial sectors and is a bridging technology for a sustainable …

This study presents a broad perspective of hybrid process modeling combining the scientific
knowledge and data analytics in bioprocessing and chemical engineering with a science …

This paper provides a historical perspective and an overview of the pioneering work that
Manfred Morari developed in the area of resiliency for chemical processes. Motivated by …

Data-driven models are becoming increasingly popular in engineering, on their own or in
combination with mechanistic models. Commonly, the trained models are subsequently …

Supply chain operations and scheduling are well-studied problems in the literature.
Although these problems are related, they are often solved sequentially. This uncoordinated …

Feasibility analysis is used to determine the feasible region of a multivariate process. This
can be difficult when the process models include black‐box constraints or the simulation is …