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 (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.
Read more news
Research Council of Finland establishes a Center of Excellence in Quantum Materials
The Centre, called QMAT, creates new materials to power the quantum technology of coming decades.
Major funding powers development of next-generation machine technology aimed at productivity leap in export sectors
The BEST research project is developing new types of sealing, bearing, and damping technology.
The TAIMI project builds an equal working life – a six-year consortium project seeks solutions to recruitment and skill challenges
Artificial intelligence (AI) is changing skill requirements, the population is aging, and the labor shortage is deepening. Meanwhile, the potential of international experts often remains unused in Finland. These challenges in working life are addressed by the six-year TAIMI project funded by the Strategic Research Council, and implemented by a broad consortium.