Machine Learning-assisted Characterization of Artifacts and Non-metallic Inclusions within Automated SEM/EDS Analysis
Crossref DOI link: https://doi.org/10.1007/s00501-026-01752-3
Published Online: 2026-07-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Musi, Robert
Thiele, Kathrin
Michelic, Susanne Katharina
Funding for this research was provided by:
Montanuniversität Leoben
Text and Data Mining valid from 2026-07-01
Version of Record valid from 2026-07-01
Article History
Received: 11 June 2026
Accepted: 15 June 2026
First Online: 1 July 2026