Artificial intelligence-driven physics-informed feature engineering for multiaxial fatigue life prediction of metallic materials with Bayesian optimization
Crossref DOI link: https://doi.org/10.1186/s40323-026-00334-9
Published Online: 2026-06-24
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Seidi, Ebrahim
Kaviari, Farnaz
Text and Data Mining valid from 2026-06-24
Version of Record valid from 2026-06-24
Article History
Received: 4 April 2026
Accepted: 4 June 2026
First Online: 24 June 2026
Declarations
:
: The authors declare no competing interests.