Comparative study of interpretable and black-box machine learning for modeling mechanical and tribological properties of 3D-printed PLA/date pits composites
3D-printed polymers have been applied in various fields. Machine learning (ML) has revolutionized material science by providing powerful tools for modeling complex properties. This study investigates the comparative performance of interpretable and black-box ML techniques in modeling the mechanical...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2024-12-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0241240 |
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