CEST group wins supercomputing Grand Challenge
CEST group researchers from the Department of Applied Physics were awarded a competitive Grand Challenge project on Finland鈥檚 biggest supercomputer Mahti to explore 鈥淎ctive machine learning methods for atmospheric science applications鈥.
Milica Todorovi膰 and Patrick Rinke will manage a 15 million core-hours project, awarded to advance cutting-edge research with large computational needs, in cross-disciplinary collaboration with the groups of Dr. Theo Kurt茅n and Prof. Hanna Vehkam盲ki at University of Helsinki.
Active learning dataset curation techniques, developed by Kunal Ghosh at CEST, will be employed to optimize the quality of machine learning of aerosol condensation properties for small atmospheric molecules. This is important information for atmospheric climate models that shape public policy on climate change.
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Catalysis in a new light: Microscale interactions could enhance clean energy technologies
A new study provides a more detailed view of how catalysts function during chemical reactions. The discovery could help develop more efficient materials for applications such as green hydrogen production and a more sustainable chemical industry.
Physics Days 2026 gathered Finnish physicists 黑料网
The 2026 edition of the annual conference featured talks on moir茅 matter, women in physics and paper cuts.
Annual review looked back on the past year
The annual review of the School of Arts, Design and Architecture provided a comprehensive overview of the past year. Members of the community were also awarded in the event.