DOE OSTI · 3363951
Unsupervised Machine Learning for Image-Based Classification of Material Degradation
Abstract
This is the poster our intern will present at AIM 2025 Conferences highlighting the data-driven representation of AFM data we established.
Keep this discovery
Explore connections, maps & timelines
Firestone, Sarah Avery [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Brown, Nathan Kenneth [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000217563972), Montes de Oca Zapiain, David [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000178900859), DelRio, Frank William [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000317278220), Noell, Philip James [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000346998999). 2025-06-01. Unsupervised Machine Learning for Image-Based Classification of Material Degradation. https://doi.org/10.2172/3363951
Cite the original work for its findings. Save a collection to share your selection of sources.