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...

Full description

Saved in:
Bibliographic Details
Main Authors: Leonardo Bertolucci Coelho, Thibaut Amand, Daniel Torres, Marjorie Olivier, Jon Ustarroz
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Materials Degradation
Online Access:https://doi.org/10.1038/s41529-025-00594-7
Tags: Add Tag
No Tags, Be the first to tag this record!