Abstract
Molecular Dynamics (MD) simulation has become an essential tool for advancing the study of metallurgical slag properties. This presentation demonstrates how MD simulation provides detailed insights into the structural, physical, and even chemical properties of slag systems at the atomic level. The potential for coupling MD with the improvement of existing thermodynamic models is also explored. It is believed that MD is able to play an increasingly significant role in enhancing our understanding of complex slag systems and optimising metallurgical processes.

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Biography
Dr Mengyi Zhu received his undergraduate degree in Metallurgical Engineering at the University of Science and Technology Beijing (USTB), China, in 2013, followed by a master’s degree in the same field from RWTH Aachen University, Germany, in 2017. He obtained his doctoral degree in Metallurgical Engineering from the Norwegian University of Science and Technology (NTNU), Norway, in 2021, after which he continued his postdoctoral research at NTNU. In 2025, he joined Ex Mente Technologies as a computational engineer. His research interests encompass slag science and engineering, computational simulations of metallurgical materials, machine learning applications in metallurgy, and sustainable ferrous and non-ferrous
metallurgy for carbon neutrality.