Abstract β-Carotene has a positive impact on human health as a precursor of vitamin A.
Building a kinetic model for its production using Saccharomyces cerevisiae in a batch …

A hybrid model integrates a first‐principles model with a data‐driven model which predicts
certain unknown dynamics of the process, resulting in higher accuracy than first‐principles …

Actor‐critic (AC) methods have emerged as an important class of reinforcement learning
(RL) paradigm that enables model‐free control by acting on a process and learning from the …

The self-assembly process, where molecules form complex structures through interaction
forces, has broad applications in various fields. However, controlling the dynamics of self …

The disposal of high concentrated Tequila vinasses is an environmental threat. An
alternative to solve this problem is through anaerobic digestion processes to reduce organic …

This work addresses recent developments for solving problems in process systems
engineering based on machine learning algorithms. A general description of most popular …

Electrochemical reduction of carbon dioxide (CO2) has received increasing attention with
the recent rise in awareness of climate change and the increase in electricity supply from …

Data-driven approaches and artificial intelligence (AI) algorithms are promising enough to
be relied on even more than physics-based methods; their main feed is data which is the …

In recent years, the urgent need to develop sustainable processes to curb the effects of
climate change has gained global attention and led to the transition into green technologies …

In the past three decades, proportional‐integral/PI‐differential (PI/PID) controllers and model
predictive controller (MPCs) have predominantly governed complex chemical process …