Automated Quantitative Analyses of Fatigue-Induced Surface Damage by Deep Learning

The digitization of materials is the prerequisite for accelerating product development. However, technologically, this is only beneficial when reliability is maintained. This requires comprehension of the microstructure-driven fatigue damage mechanisms across scales. A substantial fraction of the li...

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Detalles Bibliográficos
Autores principales: Thomas, Akhil, Durmaz, Ali Riza, Straub, Thomas, Eberl, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435935/
https://www.ncbi.nlm.nih.gov/pubmed/32722181
http://dx.doi.org/10.3390/ma13153298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435935/
https://www.ncbi.nlm.nih.gov/pubmed/32722181
http://dx.doi.org/10.3390/ma13153298

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