Emil Aaltonen Foundation Grant Awarded to CEST researcher Jari Järvi
The Emil Aaltonen Foundation has granted Jari Järvi a PhD fellowship for his third year to continue his project “Machine-Learning Method for Atomistic Structure Search in Materials Science”. In this project, Järvi investigates the atomic structure and electronic properties of hybrid organic-inorganic materials for emerging technologies, such as new electronic devices and green energy solutions. In his work, Järvi applies the Bayesian Optimization Structure Search (BOSS) method, which is a new artificial intelligence tool, recently developed by CEST. BOSS combines machine learning algorithms from computer science with quantum mechanical calculations for automated structure prediction of hybrid materials. Using BOSS, Järvi aims to acquire insight on hybrid interface structures, which can help to optimize the functional properties of these materials.
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Companies disclose more on cybersecurity – but markets remain indifferent
U.S. companies are reporting on cybersecurity in greater detail, yet stock market reactions remain muted. A new study by the University of Vaasa and Aalto University shows that mandatory cybersecurity disclosure does not prompt reactions from investors or stock analysts. Instead, the main benefits appear to materialise within firms themselves.
Yasmin Najjar’s short film TJ28 selected for Cannes’ La Cinef section
For the second consecutive year, a short film from Aalto University has been selected for the student film section at the Cannes Film Festival.The PDF files in the Aalto research portal are not loading
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