A Data-Driven Approach to Predicting Thermal Stress and Fatigue Life in Mechanical Components Using Machine Learning Techniques

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Annual Methodological Archive Research Review
DOI: 10.5281/zenodo.18871053
Cited by: 0

Fields of Study & Subjects

Fatigue and fracture mechanics Machine Learning in Materials Science Mechanical and Thermal Properties Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 March 2026
Language
EN