A comparative study of machine learning methods for predicting mode I and II brittle fracture in notched bend specimens
Crossref DOI link: https://doi.org/10.1038/s41598-025-20349-3
Published Online: 2025-10-17
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Li, Linfeng
Isleem, Haytham F.
Khishe, Mohammad
Tejani, Ghanshyam G.
Text and Data Mining valid from 2025-10-17
Version of Record valid from 2025-10-17
Article History
Received: 9 July 2025
Accepted: 15 September 2025
First Online: 17 October 2025
Competing interests
: The authors declare no competing interests.