Quantifying Chemical Structure and Machine‐Learned Atomic Energies in Amorphous and Liquid Silicon

Amorphous materials are being described by increasingly powerful computer simulations, but new approaches are still needed to fully understand their intricate atomic structures. Here, we show how machine‐learning‐based techniques can give new, quantitative chemical insight into the atomic‐scale stru...

Descripción completa

Detalles Bibliográficos
Autores principales: Bernstein, Noam, Bhattarai, Bishal, Csányi, Gábor, Drabold, David A., Elliott, Stephen R., Deringer, Volker L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Communications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563111/
https://www.ncbi.nlm.nih.gov/pubmed/30835962
http://dx.doi.org/10.1002/anie.201902625

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563111/
https://www.ncbi.nlm.nih.gov/pubmed/30835962
http://dx.doi.org/10.1002/anie.201902625

Ejemplares similares