Development of hybrid aluminum nanocomposites for automotive applications: An in-depth analysis using experimental approaches and predictive machine learning techniques
The demand for lightweight, high-performance materials has driven advancements in aluminum matrix hybrid nanocomposites (AMHCs), but their wear resistance remains a challenge, particularly for automotive applications. This study integrates experimental characterization and machine learning (ML) to p...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785425009354 |
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