CEST group wins supercomputing Grand Challenge
CEST group researchers from the Department of Applied Physics were awarded a competitive Grand Challenge project on Finland’s biggest supercomputer Mahti to explore “Active machine learning methods for atmospheric science applications”.
Milica Todorović 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 Kurtén and Prof. Hanna Vehkamäki 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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Time crystals could power future quantum computers
A time crystal, a long-life quantum system approaching perpetual motion, has been hooked up to its environment for the first time, unlocking an intriguing way to increase quantum computational and sensing power.
Glitch artwork challenges to see art in a different light
Laura Könönen's sculpture was unveiled on 14 October at the Otaniemi campus.
Nanoparticles in Functional Textiles
Dr. Md. Reazuddin Repon, Postdoctoral Researcher at the Textile Chemistry Group, Department of Bioproducts and Biosystems, Aalto University, has contributed as an editor to a newly published academic volume titled “Nanoparticles Integrated Functional Textiles”.