AI Agent Expert Interview Series - Dr. Aoni Xu
On January 4, 2026, the Editorial Office of AI Agent had the pleasure of interviewing Dr. Aoni Xu, Lecturer and Sydney Horizon Fellow at the School of Chemical and Biomolecular Engineering, The University of Sydney, Australia. Dr. Xu's research focuses on computational catalysis and electrochemical system modeling.
In this conversation, Dr. Xu shared her perspectives on the evolving role of computational methods in catalysis and energy materials research. She discussed the shift from predicting individual material properties to modeling entire catalytic systems, as well as the growing impact of machine learning in advancing materials discovery and mechanistic understanding. Her insights highlight how computation is moving beyond a supportive role to become a key driver of innovation in electrochemical technologies and sustainable energy research.
Watch the full interview with Dr. Aoni Xu:
Interview Questions:
Q1. You have long been engaged in research on computational catalysis and electrochemical system modeling. In your view, what important changes are occurring in the role of computational methods in current catalysis and energy materials research?
Q2. In recent years, machine learning and data-driven approaches have rapidly advanced in computational materials science. In which specific stages of research have these methods already had the most significant impact, and what key challenges remain?
Q3. How do you view the trend from "materials property prediction" toward "holistic modeling of catalytic systems"? What does this shift imply for the future design of electrochemical systems?
Q4. In your research, how do computational simulations and experimental validation work together effectively? What do you consider the essential elements of an ideal computation-experiment closed loop?
Q5. From the perspective of energy transition and climate change mitigation, in which application areas do you think computational catalysis and electrochemical system modeling have the greatest potential for breakthrough impacts?
Q6. As an early-career researcher active at the international forefront, what advice would you give to young researchers who aspire to work in computational materials and catalysis?
About the Interviewee:
Dr. Aoni Xu, Lecturer & Sydney Horizon Fellow, the School of Chemical and Biomolecular Engineering, The University of Sydney, Australia.
Dr. Aoni Xu obtained her PhD in Materials Science from the University of Science and Technology, Beijing, China, and held research appointments as a visiting scholar at the University of California, Berkeley, USA, and the University of Toronto, Canada. Following her PhD, Dr. Xu was a Postdoctoral Fellow at the Technical University of Denmark, Lyngby, Denmark. In 2024, she joined The University of Sydney, where her research group integrates data-driven modeling with operando experimentation to tackle challenges in climate-relevant electrochemistry. Dr. Xu's work has been recognized with awards such as the Sydney Horizon Fellowship, the Digital Sciences Initiative (DSI) Ignite Grant (The University of Sydney), and the PerkinElmer Outstanding Young Researcher Award.
Editor: Wen Xue
Language Editor: Catherine Yang
Production Editor: Ting Xu
Respectfully Submitted by the Editorial Office of AI Agent
