This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …

In the literature, machine learning (ML) and artificial intelligence (AI) applications tend to
start with examples that are irrelevant to process engineers (eg classification of images …

The advent of artificial intelligence (AI)-based technologies has opened new opportunities
for manufacturers to maintain their technological edge and address pressing societal …

Railway infrastructures have played a critical role to ensure the continuity of goods and
passenger transportation in China. Under extreme loading and environmental conditions …

CO2 emission reduction is an essential step to achieve the climate change targets. Solvent-
based post-combustion CO2 capture (PCC) processes are efficient to be retrofitted to the …

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 …

In order to accurately determine the three-dimensional (3D) shape of granular particles, one
laborious approach is to employ X-ray microtomography and image processing techniques …

Abstract Technologies based on Artificial Intelligence (AI) and Machine Learning (ML)
concepts are advancing at a rapid pace. The new paradigms are challenging the status-quo …

The field of machine learning has proven to be a powerful approach in smart manufacturing
and processing in the chemical and process industries. This review provides a systematic …

Over the preceding decades, the gradual and incessant advancement and dissemination of
artificial intelligence (AI) and automation have occasioned a noteworthy degree of …