G. Ori

activity

20242026

collaborators

3 papers

cond-mat.mtrl-sci2026

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…

cond-mat.mtrl-sci2025

Atomic scale structure and dynamical properties of (TeO $_{2}$ ) $_{1 - x}$ -(Na $_{2}$ O) $_{x}$ 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 $_{2}$ ) $_{1 - x}$ -(Na $_{2}$ O) $_{x}$ (x…

cond-mat.mtrl-sci2024

Structural properties of amorphous Na $_{3}$ OCl electrolyte by first-principles and machine learning molecular dynamics

T. -L. Pham, M. Guerboub, S. D. Wansi Wendj +6

Solid-state electrolytes mark a significant leap forward in the field of electrochemical energy storage, offering improved safety and efficiency compared to conventional liquid ele…

Modeling phase separation in polymer-derived silicon carbonitride ceramics through extended machine learning molecular dynamics

Atomic scale structure and dynamical properties of (TeO2​)1−x​-(Na2​O)x​ glasses through first-principles modeling and XRD measurements

Structural properties of amorphous Na3​OCl electrolyte by first-principles and machine learning molecular dynamics

Atomic scale structure and dynamical properties of (TeO $_{2}$ ) $_{1 - x}$ -(Na $_{2}$ O) $_{x}$ glasses through first-principles modeling and XRD measurements

Structural properties of amorphous Na $_{3}$ OCl electrolyte by first-principles and machine learning molecular dynamics