Ab initio modeling for surface process from atomistic scale to macroscopic scale by Assoc Prof Yuanyuan Zhou

11 Jul 2025 02.00 PM - 03.00 PM MSE Meeting Room (N4.1-01-28) Alumni, Current Students

NTU MSE Seminar Hosted by Associate Professor Li Shuzhou

Abstract

It remains challenging to model the surface processes under realistic conditions. In this talk, I will present our developed replica-exchange grand-canonical method enabling an accurate determination of surface phase diagram and dynamic description of surface restructuring under operation conditions, which is an advancement of the state-of-art ab initio atomistic thermodynamics. Furthermore, we built ab initio multiscale modelling by integrating advanced ab initio atomistic thermodynamics method together with microkinetic modelling, kinetic Monte Carlo and one-dimensional mass transport model.  We then applied the ab initio multiscale modelling to determine the phase diagram of silicon semiconductor surfaces in the H2 gas phase, to identify the phase transition and growth behavior of Ga2O3 semiconductor thin film under growth conditions, and to reveal the reaction mechanism of the electrochemical ammonia synthesis. The fundamental understandings provided by our ab initio multiscale modelling serve as the guidelines to improve the performance of the underlying processes.


Biography

Associate Professor Yuanyuan Zhou
Southern University of Science and Technology, Shenzhen China

Dr Zhou, Associate Professor in SUSTech. She obtained her Bachelor degree and Master degree supervised by Prof. Yanming Ma in Jilin University, then she moved to Berlin Germany and obtained her PhD degree with summa cum laude mentored by Prof. Matthias Scheffler and Prof. Luca M. Ghiringhelli in  Fritz Haber institute (FHI) of Max Planck Society. After 1-year working as research associate in FHI, she moved to Copenhagen Denmark and conducted postdoctoral research advised by Prof Jens K. Nørskov and collaborated with Prof. Ib Chorkendorff in Technical University of Denmark. Afterwards, she joined Leibniz-Institut für Kristallzüchtung as a junior group leader in 2024.  Dr. Zhou is mainly interested in developing methods encompassing machine learning, enhanced sampling, statistical learning, and free energy estimation for surface/interfacial phenomena including semiconductor oxide thin film growth, quantum material thin film growth and electrochemical ammonia synthesis, etc.