Predicting the Hall-Petch slope of magnesium alloys by machine learning
Hall-Petch slope (k) is an important material parameter, while there is a great challenge to accurately predict the k value of magnesium alloys due to a high dependence of k on the material parameters, deformation history and testing conditions. The present study demonstrates that machine learning c...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2024-11-01
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| Series: | Journal of Magnesium and Alloys |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213956723001457 |
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