The Bore Research Group, located at the Department of Chemistry at the University of Oslo, is a computational chemistry lab at the intersection of artificial intelligence and quantum mechanics. We develop and apply machine learning potentials for accelerated and reliable first-principles molecular dynamics investigations of exotic chemistry and physics beyond what is possible by traditional methods.

At present, the Bore Research Group is working to:
- Develop and apply adversarial active learning for machine learning potentials that can capture material properties accurately from first principles
- Investigate and enhance the ionic conductivity of nanoporous materials, a crucial step towards improving fuel cells
- Determine why ice is so slippery from first-principles investigations


This website is maintained by Sigbjørn Løland Bore. Illustration is by Camilla Kottum Elmar. Last updated: