Machine learning techniques for estimating high–temperature mechanical behavior of high strength steels
Machine learning (ML) has emerged as a powerful tool for predicting the mechanical behavior of materials by analyzing stress-strain data from tensile tests. In this study, we present a novel ML-based framework for accurately predicting the high-temperature mechanical properties of high-strength stee...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025003287 |
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