Data-driven discovery of ultrahigh specific hardness alloys
Data-driven discovery of advanced alloys using experimental data is challenging due to the difficulty of obtaining large and reliable experimental datasets, the vastness of the compositional design space, and the risk of overfitting machine learning (ML) models. This study employed an iterative proc...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-11-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785424026814 |
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