Data-driven models

Our paper on how to make chemical data-driven models accepted in Chemical Science

Belgrade talk

Stefan gives talk at Noncovalent Interactions Conference in Belgrade

Stefan and Kim give talks at Chemical Compound Space Conference in Heidelberg

Challenges in machine-learned DFT

Our work with Tim Gould on the challenges of machine-learned DFT is now in the PCCP Emerging Investigators Collections. Congratulations to Heng Zhao on publishing his first paper just six months into his PhD! 

SCS Young Symposium  talk about machine re-learning of DFT.

Our crew at #APS March Meeting 2024

Welcoming Etienne Palos

Looking forward to Welcome Etienne Palos from Paesani's Lab (University of California San Diego) to our group in Fall 2024. Etienne recieved a prestigious visiting ThinkSwiss Research Scholarship

Stefan in JCTC board

Stefan became a part of the early career ACS's JCTC early board (see details here)

Quantum chemistry meets AI

Quantum chemistry meets AI meeting: Together with Kulik group from MIT and Gerolin's group from Ottawa, we organize the 'DFT and AI: learning from each other' - the Ceca workshop at EPFL (CH) in March 2025. Registration is open!