Longo, Samuel ; Université de Liège - ULiège > Complex and Entangled Systems from Atoms to Materials (CESAM)
Language :
English
Title :
Machine-learning-driven atomistic modeling of molybdenum sulfides: anharmonic dynamics and amorphous structures
Defense date :
10 November 2026
Institution :
ULiège - Université de Liège [Physics], Liège, Belgium
Degree :
Doctorat en Sciences
Promotor :
Verstraete, Matthieu ; Université de Liège - ULiège > Quantum Materials (Q-MAT) ; UU - University of Utrecht > Institute for Theoretical Physics (ITP) Department of Physics
President :
Remacle, Françoise ; Université de Liège - ULiège > Molecular Systems (MolSys)
