Group updates
Updates from the group, including publications, people and research activities.
September 2026
We welcome Chenyu Wu and Zemin Xu as Research Assistants at City University of Hong Kong. Chenyu works on reactive interatomic potentials and data generation, while Zemin develops equivariant models and the TACE framework.
Meet our membersSeptember 2026
Our updated preprint, “Through the Looking-Glass: Efficient Parity-Complete Learning via Local O(2) Frames,” presents a framework for treating rotations, reflections and time reversal in equivariant atomistic models.
Read preprintJuly 2026
Wenbo Xie joins the Department of Materials Science and Engineering as an Assistant Professor. The group will develop data-centric methods, machine-learning interatomic potentials and predictive approaches to materials simulation.
View profile2026
“A Cartesian-3j Framework for Machine Learning Interatomic Potentials” is published in the proceedings of the 43rd International Conference on Machine Learning.
Read paperInterested in materials, theoretical chemistry or machine learning? We welcome research enquiries from curious students and researchers.
Research opportunities