Tongqi Wen is currently working as a distinguished Postdoc in Hong Kong Institute for Advanced Study (HKIAS) at City University of Hong Kong (CityU), Hong Kong, China.
He received his B.S. degree in optical information science and technology at Northwestern Polytechnical University in China in 2014 and Ph.D. degree in materials physics and chemistry at Northwestern Polytechnical University in China with jointly supervised at Ames Laboratory, Iowa State University in USA in 2019. He was previously a visiting assistant research fellow at Songshan Lake Materials Laboratory in Dongguan, Guangdong, China and then joined HKIAS at CityU as a distinguished Postdoc in 2020. Up to now, he has published over 20 papers on peer-reviewed journals, including Journal of the American Ceramic Society, Physical Review B, Acta Materialia, Scripta Materialia, etc. His primary fields of research cover molecular dynamics simulation of structure and dynamics in liquid and glass, developing interatomic potential by traditional and machine learning methods, and DFT calculations of structures and physical properties in inorganic materials.
His current research interest is developing machine learning interatomic potentials for accurate mechanical properties in structural materials. Based on the accurate and efficient interatomic potentials, explicit simulations of extended defects, such as dislocations, grain and interphase boundaries, that are well beyond the length and time scale of current DFT calculations can be performed.