Identifying stable pitting pathways in 316 L stainless steel via fractal-inspired PCA-based clustering
Abstract This study introduces a fractal-inspired PCA-based framework to distinguish stable pitting pathways in 316 L stainless steel in chloride media. By transforming potentiodynamic polarisation data into a Mandelbrot space, the approach reveals two distinct scenarios of stable pitting growth: di...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2025-05-01
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| Col·lecció: | npj Materials Degradation |
| Accés en línia: | https://doi.org/10.1038/s41529-025-00594-7 |
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