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AI@JSI https://kt.ijs.si/aijsi-seminar/
Aleksandar Kondinski
Graz University of Technology, Austria
Self-organisation sculpts the topology and physicochemical properties of biological, organic, inorganic, and hybrid materials. Its explainability emerges from understanding the core principles and preconditions that dictate synthetic outcomes. A formal, machine-actionable representation of these blueprints is crucial for developing explainable AI systems that explore both immediate and deep chemical spaces. In this talk, we first show how molecular modelling uncovers elusive self-organisation patterns in cluster materials, some of which can be used as scaffolds for designing extended material systems. Next, we examine the development of dynamic knowledge-graph systems that accelerate the discovery of self-organised reticular material architectures.
Aleksandar Kondinski is an Assistant Professor of Physical and Theoretical Chemistry at Graz University of Technology, Austria. He earned his Ph.D. in Chemistry from Jacobs University Bremen in 2016 under the supervision of Professor Thomas Heine. Subsequently, he held research positions at RWTH Aachen University, KU Leuven, the University of Cambridge, and Cambridge CARES in Singapore. His postdoctoral accomplishments have been recognised with fellowships from the Alexander von Humboldt Foundation, the Research Foundation – Flanders (FWO), and the Isaac Newton Trust. Kondinski’s research combines molecular modelling, chemical informatics, and knowledge engineering to accelerate the rational design of structurally complex nanomolecular architectures.
Vidnost
Javen
Jezik
angleščina
Avtor
Institut "Jožef Stefan"
Licenca
Datum dogodka
19. 05. 2025
Ključniki
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