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Pop-In Identification in Nanoindentation Curves with Deep Learning Algorithms
High–speed nanoindentation rapidly generates large datasets, opening the door for advanced data analysis methods such as the resources available in artificial intelligence. The present study addresses the problem of differentiating load–displacement curves presenting pop-in, slope changes, or instab...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625569/ https://www.ncbi.nlm.nih.gov/pubmed/34832424 http://dx.doi.org/10.3390/ma14227027 |