Our current research focuses on development and application of machine learning methods to model interatomic interactions, including the development of many-body atomic descriptors. Topics include carbon-based nanostructures and nanomaterials, metal nanoparticles, catalysis and X-ray spectroscopy.
This page is currently under construction. You can visit our Publication List for an up-to-date account of our published work. You can also browse the list below to find out more about different topics of our past research (we are hoping to update this list as soon as time allows).