Our research vision is to understand, and ultimately to control, materials structure on the atomic scale. We combine quantum mechanics with machine learning (ML) to study relationships of structure, bonding, and properties. Our work is theoretical and computational, but is done in close collaboration with experimental partners, and with practical applications in mind.
We currently work on:
- Machine-learning approaches to inorganic chemistry
- Structural chemistry of amorphous solids
- Computationally guided design of inorganic functional materials
Prof. Deringer was awarded the Royal Society of Chemistry (RSC) Harrison-Meldola Memorial Prize in 2022. His group's research is supported by an EPSRC New Investigator Award and a UKRI Frontier Research grant.
You can find more of his research on Google Scholar
