3 papers
cs.CV2025
Revealing the structure-property relationships of copper alloys with FAGC
Yuexing Han, Ruijie Li, Guanxin Wan +3
Cu-Cr-Zr alloys play a crucial role in electronic devices and the electric power industry, where their electrical conductivity and hardness are of great importance. However, due to…
cs.CV2025
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han, Gan Hu, Guanxin Wan +1
Due to the constraints on model performance imposed by the size of the training data, data augmentation has become an essential technique in deep learning. However, most existing d…
cs.LG2024
Deep Learning-Driven Microstructure Characterization and Vickers Hardness Prediction of Mg-Gd Alloys
Lu Wang, Hongchan Chen, Bing Wang +3
In the field of materials science, exploring the relationship between composition, microstructure, and properties has long been a critical research focus. The mechanical performanc…