Finding defects in glasses through machine learning

Structural defects control the kinetic, thermodynamic and mechanical properties of glasses. For instance, rare quantum tunneling two-level systems (TLS) govern the physics of glasses at very low temperature. Due to their extremely low density, it is very hard to directly identify them in computer si...

Descripción completa

Detalles Bibliográficos
Autores principales: Ciarella, Simone, Khomenko, Dmytro, Berthier, Ludovic, Mocanu, Felix C., Reichman, David R., Scalliet, Camille, Zamponi, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349890/
https://www.ncbi.nlm.nih.gov/pubmed/37454138
http://dx.doi.org/10.1038/s41467-023-39948-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349890/
https://www.ncbi.nlm.nih.gov/pubmed/37454138
http://dx.doi.org/10.1038/s41467-023-39948-7

Ejemplares similares