During the summer, our PhD student Alessia Cinci had the opportunity to present her PhD project at two major scientific conferences: the International Conference on Hydrogenases and other Redox Metalloenzymes (ICH2026), held in Leicester, UK, and INORG51, the national conference of the Inorganic Chemistry Division of the Italian Chemical Society (SCI). At both conferences, Alessia delivered oral presentations focusing on her PhD research about non-classic biomimetic systems inspired by [FeFe]-hydrogenases for molecular hydrogen electrocatalysis.
Congratulations to our PhD student Elena Betti for her publication entitled "Energy Transfer Pathways in Plant Photosystem I from First-Principles Modeling" in the Journal JACS Au. Photosystem I–light harvesting complex I (PSI–LHCI) captures and funnels solar energy toward its reaction center with remarkable efficiency. This occurs despite the presence of low-lying energy states located far from the reaction center—the so-called red forms—which would be expected to act as traps, hindering energy concentration at the reaction center.
At the 4th International Symposium on Photonic and Electronic Molecular Machines (PEMM) in Lyon, our PhD student Samuele Botticelli delivered an oral presentation entitled “A Frenkel Hamiltonian surface hopping approach to nonadiabatic dynamics of exciton-polaritons". In his contribution, Samuele presented a novel Extended Frenkel Exciton Model that, combined with Surface Hopping Molecular Dynamics, allows for the description of the properties and nonadiabatic dynamics of polaritonic states (hybrid light-matter states) in multichromophoric systems.
Congratulations to our PhD student Amanda Arcidiacono for her publication entitled "Modeling Xanthophyll Excited States via Cost-Effective Quantum Chemistry methods and Property-Based Diabatization" in the Journal of Chemical Theory and Computation. Xantophylls play essential roles in photosynthetic light harvesting and photoprotection in biological systems, but the accurate description of their excited states at a feasible computational cost remains challenging.
