Machine learning molecular dynamics of 8000-atom SiCN systems shows progressive nucleation of carbon domains forming graphene-like sheets from the amorphous matrix during thermal processing.
Initial configurations were obtained from the work of Deringer and Csányi
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Modeling phase separation in polymer-derived silicon carbonitride ceramics through extended machine learning molecular dynamics
Machine learning molecular dynamics of 8000-atom SiCN systems shows progressive nucleation of carbon domains forming graphene-like sheets from the amorphous matrix during thermal processing.