2 papers
cond-mat.mtrl-sci2026
Ordered-to-disordered transfer learning with graph neural networks for formation-energy and HOMO-LUMO gap prediction in high-entropy perovskite oxides
Panupol Untarabut, Narjes Jomaa, Sylvian Cadars +4
High-entropy perovskite oxides (HEPOs) represent a chemically complex class of materials with promising functional properties, yet their vast compositional space and, chemical/stru…
cond-mat.mtrl-sci2026
Mapping the influence of symmetry breaking in structure-property relationships of ABO perovskites
Panupol Untarabut, Sylvian Cadars, Fabien Pascale +5
Perovskite oxides have emerged as an important class of material with promising energy applications owing to their compositional and structural flexibility, which enables stabiliza…