معرفی
Lorenzo Celiberti is a researcher affiliated with the Faculty of Physics and the Computational Materials Physics department. His work spans interdisciplinary fields, focusing on Density Functional Theory, Spin-Orbit Coupling, and Machine Learning applied to materials science. His research explores magnetic energy landscapes, correlated insulators, and transition metal oxides, often integrating computational methods with experimental insights.
Recent activities include contributions to peer-reviewed journals and oral presentations/posters on Jahn-Teller polarons and spin-orbit entanglement. Collaborations extend to institutions like the University of Vienna and Max Planck Institute. While no formal awards are listed, his work has garnered attention on platforms like X and Mendeley.
