Our group at a glance

We are a computational physics / materials science group. We study the structure and properties of different phases of matter and how they can be used in applications, such as novel devices for solar energy conversion, energy storage and heterogeneous catalysis. We employ computational models and tools that span multiple scales from the atomistic to the continuum.  Recently, we have expanded our scope to using machine learning methods in search of new or better materials, and for gaining a deeper understanding of complex solids such as glasses, by exploring large data bases of structures.

Some topics of active research in our group include: properties of two-dimensional weakly-bonded heterostructures, machine learning for materials and real-time simulation of reaction dynamics on surfaces (find out more in "Research"). 

Google Scholar profile

Highlight of recent work: Branched electronic flow in graphene

Highlight of recent work: 2D magnetic materials