Prediction of ultimate tensile strength of Al‐Si alloys based on multimodal fusion learning
Abstract Exploring the “composition‐microstructure‐property” relationship is a long‐standing theme in materials science. However, complex interactions make this area of research challenging. Based on the image processing and machine learning techniques, this paper proposes a multimodal fusion learni...
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| Main Authors: | Longfei Zhu, Qun Luo, Qiaochuan Chen, Yu Zhang, Lijun Zhang, Bin Hu, Yuexing Han, Qian Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley-VCH
2024-03-01
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| Series: | Materials Genome Engineering Advances |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/mgea.26 |
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