O B A V I J E S T
BRUNO MLADINEO
održat će znanstveni kolokvij (doktorski seminar) iz Fizike kondenzirane tvari pod naslovom
Modelling of complex materials using machine - learned interatomic potentials
Advanced simulation methods provide valuable insights into the physical properties of complex materials, complementing experiments. In material modelling, two primary approaches exist. Classical potentials, though fast with linear scaling, sacrifice accuracy. While quantum methods like Density Functional Theory (DFT), provide high accuracy but scale poorly. The aim of this study is to enhance the size and length scales of material simulations while maintaining accuracy comparable to quantum methods. By leveraging machine learning interatomic potentials (MLIPs), complex systems deemed challenging by traditional methods will be investigated. This includes exploring organic molecular crystals with extreme anisotropic expansion and thermosalient phase transitions, and studying femtosecond laser-induced dynamics of molecules on metallic surfaces-complex systems lacking a theoretical explanation for experimental observations.
Seminar će se održati u ponedjeljak 15. rujna 2025. godine u 14:00 sati u predavaonici F-201 Fizičkog odsjeka Prirodoslovno-matematičkog fakulteta Sveučilišta u Zagrebu.
Pozivaju se studenti doktorskog studija Fizike, smjer Fizika kondenzirane tvari, da prisustvuju seminaru, ako nisu spriječeni.
Voditelj smjera:
Prof. dr. sc. Ana Akrap, v. r.
Pristupačnost
