A phase-field approach to fatigue analysis: Bridging theory and simulation
PaulHoule Tuesday, January 06, 2026
Summary
The article explores the use of machine learning techniques to predict the performance of industrial components, focusing on a case study involving the detection of defects in steel sheets. The research demonstrates the effectiveness of deep learning models in accurately identifying defects, which can help optimize production processes and reduce waste.
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