Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning

Fractured systems are ubiquitous in natural and engineered applications as diverse as hydraulic fracturing, underground nuclear test detection, corrosive damage in materials and brittle failure of metals and ceramics. Microstructural information (fracture size, orientation, etc.) plays a key role in...

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Detalles Bibliográficos
Autores principales: Srinivasan, Gowri, Hyman, Jeffrey D., Osthus, David A., Moore, Bryan A., O’Malley, Daniel, Karra, Satish, Rougier, Esteban, Hagberg, Aric A., Hunter, Abigail, Viswanathan, Hari S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6076234/
https://www.ncbi.nlm.nih.gov/pubmed/30076388
http://dx.doi.org/10.1038/s41598-018-30117-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6076234/
https://www.ncbi.nlm.nih.gov/pubmed/30076388
http://dx.doi.org/10.1038/s41598-018-30117-1

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