Prediction of ultimate tensile strength of Al‐Si alloys based on multimodal fusion learning

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...

Full description

Saved in:
Bibliographic Details
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
Series:Materials Genome Engineering Advances
Subjects:
Al‐Si alloys
image processing
machine learning
multimodal
property prediction
Online Access:https://doi.org/10.1002/mgea.26
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/mgea.26

Similar Items