30 citations · 30 across the 3 of their papers we have counts for
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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…
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…
Atomic scale structure and dynamical properties of (TeO)-(NaO) glasses through first-principles modeling and XRD measurements
Firas Shuaib, Assil Bouzid, Remi Piotrowski +10
We resort to first-principles molecular dynamics, in synergy with experiments, to study structural evolution and Na cation diffusion inside (TeO)-(NaO) (x…