Eero Kasanen’s paper accepted to JFQA
“Real Options and Idiosyncratic Skewness” by Luca Del Viva, Eero Kasanen, and Lenos Trigeorgis has been accepted for publication in JFQA.
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Decoding the chemistry of space with machine learning
Astronomers can detect complex chemical fingerprints in stardust – but many of them remain unidentified. The SpaceML project combines machine learning and computational chemistry to simulate how molecules form and evolve in space, helping researchers decode these signals.
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
The 2026 edition of the annual conference featured talks on moiré matter, women in physics and paper cuts.