People

Our Team

We work across materials science, theoretical chemistry and machine learning to develop predictive methods for atomistic research.

Principal Investigator (PI)

Wenbo Xie outdoors beside a turquoise architectural sculpture.

Principal investigator

Wenbo Xie

Assistant Professor

Data-centric AI, machine-learning interatomic potentials and realistic materials simulation.

Research Staff

CW
Portrait forthcoming

Research assistant

Chenyu Wu

Research Assistant, City University of Hong Kong

Reactive interatomic potentials, atomistic data generation and catalytic modeling.

ZX
Portrait forthcoming

Research assistant

Zemin Xu

Research Assistant, City University of Hong Kong

Equivariant representations, TACE and transferable atomistic models.

Graduate Students

Interested in joining the group as a graduate student? Explore our research opportunities.

Research Opportunities