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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Call for doctoral student tutors, September 2025
Sign-up to be a tutor for new doctoral students as part of the Aalto Doctoral Orientation Days!
Creating room for connection, dialogue, and collective planning is more important than ever
Two workshops were organised to build bridges and foster meaningful action on EDI at the Aalto School of Business.
Researchers turn energy loss into a way of creating lossless photonics-based devices
Turning energy loss from a fatal flaw into a dial for fine-tuning new states of matter into existence could yield better laser, quantum and optical technology.