Classification of apatite structures via topological data analysis: a framework for a ‘Materials Barcode’ representation of structure maps

This paper introduces the use of topological data analysis (TDA) as an unsupervised machine learning tool to uncover classification criteria in complex inorganic crystal chemistries. Using the apatite chemistry as a template, we track through the use of persistent homology the topological connectivi...

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Detalles Bibliográficos
Autores principales: Broderick, Scott, Dongol, Ruhil, Zhang, Tianmu, Rajan, Krishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172868/
https://www.ncbi.nlm.nih.gov/pubmed/34078920
http://dx.doi.org/10.1038/s41598-021-90070-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172868/
https://www.ncbi.nlm.nih.gov/pubmed/34078920
http://dx.doi.org/10.1038/s41598-021-90070-4

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