Climate change, the growth in world population, high levels of food waste and food loss, and
the risk of new disease or pandemic outbreaks are examples of the many challenges that …

With the development of Industry 4.0, artificial intelligence (AI) is gaining increasing attention
for its performance in solving particularly complex problems in industrial chemistry and …

The feasibility of a renewable source for synthesis of mesoporous activated carbon (AC) as
catalyst support in Fischer-Tropsch synthesis (FTS) has been investigated. For this purpose …

Automatically extracting information from unstructured text in pharmaceutical documents is
important for drug discovery and development. This information can be integrated with …

Mycobacterium tuberculosis is the bacterial strain that causes tuberculosis (TB). However,
multidrug-resistant and extensively drug-resistant tuberculosis are significant obstacles to …

Adsorption of CO 2 on porous carbons has been identified as one of the promising methods
for carbon capture, which is essential for meeting the sustainable developmental goal (SDG) …

The application of optimization techniques to improve the performance of polymer
processing technologies is of great practical consequence, since it may result in significant …

Artificial intelligence and machine learning are revolutionising fields of science and
engineering. In recent years, process engineering has widely benefited from this novel …

The Suzuki coupling is a transition metal-catalyzed, cross-coupling carbon–carbon (C–C)
bond forming reaction between organic boron compounds and organic halides. As an …

This work explores the application of Bayesian Long Short-Term Memory (LSTM) networks
as surrogate models for process engineering systems. We illustrate the model's ability to …