From the 1 of 5 linked papers with an AI index.
5 papers
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
The paper introduces an efficient computational framework to generate and explore composition‑dependent structural models of ABO₃ perovskites across low‑ and high‑symmetry phases,…
Modeling phase separation in polymer-derived silicon carbonitride ceramics through extended machine learning molecular dynamics
Fabien Mortier, Sylvian Cadars, Olivier Masson +5
Polymer-derived ceramics combine the thermal stability of ceramics with the versatile properties of carbon domains, but modeling their atomic-scale evolution during processing rema…
Ab-initio study of structural, vibrational and non-linear optical properties of (TiO2)-(Tl2O)-(TeO2) glasses
Raghvender Raghvender, Assil Bouzid, Evgenii M. Roginskii +4
This paper reports on a systematic first-principles molecular dynamics investigation of binary (TlO)-(TeO) and ternary _{2}_{x}_{0.5}_{…
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…