
Principal investigator
Wenbo Xie
Assistant Professor
Data-centric AI, machine-learning interatomic potentials and realistic materials simulation.
People
We work across materials science, theoretical chemistry and machine learning to develop predictive methods for atomistic research.

Principal investigator
Assistant Professor
Data-centric AI, machine-learning interatomic potentials and realistic materials simulation.
Research assistant
Research Assistant, City University of Hong Kong
Reactive interatomic potentials, atomistic data generation and catalytic modeling.
Research assistant
Research Assistant, City University of Hong Kong
Equivariant representations, TACE and transferable atomistic models.
Interested in joining the group as a graduate student? Explore our research opportunities.
Research Opportunities