Materials Science and Engineering
University of North Texas, US



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Dr. Jincheng Du is a professor of materials science and engineering at the University of North Texas, Denton, Texas USA. He obtained his Ph.D. on ceramic science from Alfred University and then did postdoctoral research at Pacific Northwest National Laboratory and University of Virginia before joining UNT as a faculty member in 2007. His research focus on atomistic simulations of structure, structure-property relation, functional applications, corrosion, and environment interactions of glass materials. He has published 2 books, 12 book chapters, and over 210 peer reviewed papers. As one of the leading experts in his field, he has given over 100 invited talks and seminars in international conferences and at universities around the world. Prof. Du currently serves as the Chair of TC27 atomistic modeling of International Commission of Glass (ICG) and Editor of the Journal of the American Ceramic Society. He is the past chair of the Glass and Optical Materials Division of the American Ceramic Society. Among other distinctions, he is an elected Fellow of the American Ceramic Society and American Society of Materials. He is also the recipient of Research Leadership Award of UNT, Fulbright US Scholar Award, Gordon Fulcher Distinguished Scholar of Corning Inc., and the W.E.S Turner Award of ICG.

​Presentation ​​

Understand Glass Materials and Their Functional Applications Through Atomistic Computer Simulations

Glass is one of the most complex materials, with glass structure and glass transition remaining the unresolved fundamental physical problems. Atomistic computer simulations, including both first principles and classical simulation methods, have greatly contributed to the understanding of glassy state, predicting glass properties, and designing of new glass compositions. These advances are due to repaid increase of computing power, active development and maturing of simulation methods such interatomic potentials and simulation algorithms. In this talk, I will provide an overview of these advances and present a few practical examples based on results of our group: from structure-property correlation in borosilicate glasses, glass-water interactions, to phase separation in oxyfluoride glasses based on molecular dynamics simulations. Recent advances in artificial intelligence and machine learning and their applications in glass research will also be discussed.