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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...
Autores principales: | Broderick, Scott, Dongol, Ruhil, Zhang, Tianmu, Rajan, Krishna |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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